692 lines
26 KiB
Markdown
692 lines
26 KiB
Markdown
# decode-spam-headers.py
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Whether you are trying to understand why a specific e-mail ended up in SPAM/Junk for your daily Administrative duties or for your Red-Team Phishing simulation purposes, this script is there for you to help!
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Idea arose while delivering a commercial Phishing Simulation exercises against MS Office365 E5 estate, equipped with MS Defender for Office365. As one can imagine, pretty tough security stack to work with from a phishing-simulation perspective.
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After digging manually through all these Office365 SMTP headers and trying to cherry-pick these SCL values, time come to write up a proper parser for SMTP headers.
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Time went by, I was adding support for more and more SMTP headers - and here we have it. Tool that now comprehends tens of different headers.
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## Info
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This tool accepts on input an `*.EML` or `*.txt` file with all the SMTP headers. It will then extract a subset of interesting headers and using **105+** tests will attempt to decode them as much as possible.
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This script also extracts all IPv4 addresses and domain names and performs full DNS resolution of them.
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Resulting output will contain useful information on why this e-mail might have been blocked.
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In order to embellish your Phishing HTML code before sending it to your client, you might also want feed it into my [`phishing-HTML-linter.py`](https://github.com/mgeeky/Penetration-Testing-Tools/blob/master/phishing/phishing-HTML-linter.py). It does pretty decent job finding _bad smells_ in your HTML that will get your e-mail with increased Spam-score.
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### Example Screenshots
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- Chain of MTA servers (nicely parsed `Received` headers):
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- Various headers decoded as much as possible, according to publicly available documentation (here _Office365 ForeFront Spam Report_):
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- Different custom heuristics implement to actively validate and seek for clues of spam categorization, here logic detecting _Domain Impersonation_:
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- Script attempts to reverse-engineer and document some of the Office365 Anti-Spam rules, as well as collect public knowledge about other opaque Anti-Spam headers:
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- Report can be generated into a good-looking HTML (usage: `py decode-spam-headers.py headers.txt -f html -o report.html` ):
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### Processed headers
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Processed headers (more than **85+** headers are parsed):
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- `X-forefront-antispam-report`
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- `X-exchange-antispam`
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- `X-exchange-antispam-mailbox-delivery`
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- `X-exchange-antispam-message-info`
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- `X-microsoft-antispam-report-cfa-test`
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- `Received`
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- `From`
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- `To`
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- `Subject`
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- `Thread-topic`
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- `Received-spf`
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- `X-mailer`
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- `X-originating-ip`
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- `User-agent`
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- `X-forefront-antispam-report`
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- `X-microsoft-antispam-mailbox-delivery`
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- `X-microsoft-antispam`
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- `X-exchange-antispam-report-cfa-test`
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- `X-spam-status`
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- `X-spam-level`
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- `X-spam-flag`
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- `X-spam-report`
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- `X-vr-spamcause`
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- `X-ovh-spam-reason`
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- `X-vr-spamscore`
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- `X-virus-scanned`
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- `X-spam-checker-version`
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- `X-ironport-av`
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- `X-ironport-anti-spam-filtered`
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- `X-ironport-anti-spam-result`
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- `X-mimecast-spam-score`
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- `Spamdiagnosticmetadata`
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- `X-ms-exchange-atpmessageproperties`
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- `X-msfbl`
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- `X-ms-exchange-transport-endtoendlatency`
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- `X-ms-oob-tlc-oobclassifiers`
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- `X-ip-spam-verdict`
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- `X-amp-result`
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- `X-ironport-remoteip`
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- `X-ironport-reputation`
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- `X-sbrs`
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- `X-ironport-sendergroup`
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- `X-policy`
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- `X-ironport-mailflowpolicy`
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- `X-remote-ip`
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- `X-sea-spam`
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- `X-fireeye`
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- `X-antiabuse`
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- `X-tmase-version`
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- `X-tm-as-product-ver`
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- `X-tm-as-result`
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- `X-imss-scan-details`
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- `X-tm-as-user-approved-sender`
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- `X-tm-as-user-blocked-sender`
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- `X-tmase-result`
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- `X-tmase-snap-result`
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- `X-imss-dkim-white-list`
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- `X-tm-as-result-xfilter`
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- `X-tm-as-smtp`
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- `X-scanned-by`
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- `X-mimecast-spam-signature`
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- `X-mimecast-bulk-signature`
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- `X-sender-ip`
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- `X-forefront-antispam-report-untrusted`
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- `X-microsoft-antispam-untrusted`
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- `X-sophos-senderhistory`
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- `X-sophos-rescan`
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- `X-MS-Exchange-CrossTenant-Id`
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- `X-OriginatorOrg`
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- `IronPort-Data`
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- `IronPort-HdrOrdr`
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- `X-DKIM`
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- `DKIM-Filter`
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- `X-SpamExperts-Class`
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- `X-SpamExperts-Evidence`
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- `X-Recommended-Action`
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- `X-AppInfo`
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- `X-Spam`
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- `X-TM-AS-MatchedID`
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- `X-MS-Exchange-EnableFirstContactSafetyTip`
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- `X-MS-Exchange-Organization-BypassFocusedInbox`
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- `X-MS-Exchange-SkipListedInternetSender`
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- `X-MS-Exchange-ExternalOriginalInternetSender`
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- `X-CNFS-Analysis`
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- `X-Authenticated-Sender`
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- `X-Apparently-From`
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- `X-Env-Sender`
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- `Sender`
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Most of these headers are not fully documented, therefore the script is unable to pinpoint all the details, but at least it collects all I could find on them.
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### Reverse-Engineering efforts
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I'm making signifcant efforts to spot and understand different Office365 ForeFront Anti-Spam ruls (SFS, ENG) despite them not being publicly documented.
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```
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(5) Test: X-Forefront-Antispam-Report
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HEADER:
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X-Forefront-Antispam-Report
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VALUE:
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CIP:209.85.167.100;CTRY:US;LANG:de;SCL:5;SRV:;IPV:NLI;SFV:SPM;H:mail-lf1-f100.google.com;PTR:mail-l
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f1-f100.google.com;CAT:DIMP;SFTY:9.19;SFS:(4636009)(956004)(166002)(6916009)(356005)(336012)(19
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625305002)(22186003)(5660300002)(4744005)(6666004)(35100500006)(82960400001)(26005)(7596003)(7636003)(554460
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02)(224303003)(1096003)(58800400005)(86362001)(9686003)(43540500002);DIR:INB;SFTY:9.19;
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[...]
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- Message matched 24 Anti-Spam rules (SFS): <============ opaque anti-spam rules
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- (1096003)
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- (166002)
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- (19625305002)
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- (22186003)
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- (224303003)
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- (26005)
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- (336012)
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- (356005)
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- (35100500006) - (SPAM) Message contained embedded image.
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```
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The process is purely manual and resorts to sending specifically designed mails to the Office365 mail servers and then manually reviewing and correlating collected rules.
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Having sent more than 60 mails already, this is what I can tell by now about Microsoft's rules:
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```py
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#
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# Below rules were collected solely in a trial-and-error manner or by scraping any
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# pieces of information from all around the Internet.
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#
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# They do not represent the actual Anti-Spam rule name or context and surely represent
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# something close to what is understood (or they may have totally different meaning).
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#
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# Until we'll be able to review anti-spam rules documention, there is no viable mean to map
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# rule ID to its meaning.
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#
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Anti_Spam_Rules_ReverseEngineered = \
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{
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'35100500006' : logger.colored('(SPAM) Message contained embedded image.', 'red'),
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# https://docs.microsoft.com/en-us/answers/questions/416100/what-is-meanings-of-39x-microsoft-antispam-mailbox.html
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'520007050' : logger.colored('(SPAM) Moved message to Spam and created Email Rule to move messages from this particular sender to Junk.', 'red'),
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# triggered on an empty mail with subject being: "test123 - viagra"
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'162623004' : 'Subject line contained suspicious words (like Viagra).',
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# triggered on mail with subject "test123" and body being single word "viagra"
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'19618925003' : 'Mail body contained suspicious words (like Viagra).',
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# triggered on mail with empty body and subject "Click here"
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'28233001' : 'Subject line contained suspicious words luring action (ex. "Click here"). ',
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# triggered on a mail with test subject and 1500 words of http://nietzsche-ipsum.com/
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'30864003' : 'Mail body contained a lot of text (more than 10.000 characters).',
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# mails that had simple message such as "Hello world" triggered this rule, whereas mails with
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# more than 150 words did not.
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'564344004' : 'HTML mail body with less than 150 words of text (not sure how much less though)',
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# message was sent with a basic html and only one <u> tag in body.
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'67856001' : 'HTML mail body contained underline <u> tag.',
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# message with html,head,body and body containing simple text with no b/i/u formatting.
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'579124003' : 'HTML mail body contained text, but no text formatting (<b>, <i>, <u>) was present',
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# This is a strong signal. Mails without <a> doesnt have this rule.
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'166002' : 'HTML mail body contained URL <a> link.',
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# Message contained <a href="https://something.com/file.html?parameter=value" - GET parameter with value.
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'21615005' : 'Mail body contained <a> tag with URL containing GET parameter: ex. href="https://foo.bar/file?aaa=bbb"',
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# Message contained <a href="https://something.com/file.html?parameter=https://another.com/website"
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# - GET parameter with value, being a URL to another website
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'45080400002' : 'Something about <a> tag\'s URL. Possibly it contained GET parameter with value of another URL: ex. href="https://foo.bar/file?aaa=https://baz.xyz/"',
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# Message contained <a> with href pointing to a file with dangerous extension, such as file.exe
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'460985005' : 'Mail body contained HTML <a> tag with href URL pointing to a file with dangerous extension (such as .exe)',
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#
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# Message1: GoPhish -> VPS 587/tcp redirector -> smtp.gmail.com:587 -> target
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# Message2: GoPhish -> VPS 587/tcp redirector -> smtp-relay.gmail.com:587 -> target
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#
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# These were the only differences I spotted:
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# Message1 - FirstHop Gmail SMTP Received with ESMTPS.
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# Message2 - FirstHop Gmail SMTP-Relay Received with ESMTPSA.
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#
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'121216002' : 'First Hop MTA SMTP Server used as a SMTP Relay. It\'s known to originate e-mails, but here it acted as a Relay. Or maybe due to use of "with ESMTPSA" instead of ESMTPS?',
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# Triggered on message with <a> added to HTML: <a href="https://support.spotify.com/is-en/">https://www.reddit.com/</a>
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'966005' : 'Mail body contained link tag with potentially masqueraded URL: <a href="https://attacker.com">https://example.com</a>',
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#
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# Message1: GoPhish EC2 -> another EC2 with socat to smtp.gmail.com:587 (authenticated) -> Target
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# Message2: GoPhish EC2 -> Gsuite -> Target
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#
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# Subject, mail body were exactly the same.
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#
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# Below two rules were added to the second message. My understanding is that they're somehow referring
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# to the reputation of the first-hop server, maybe reverse-DNS resolution.
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#
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'5002400100002' : "(GUESSING) Somehow related to First Hop server reputation, it's reverse-PTR resolution or domain impersonation",
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'58800400005' : "(GUESSING) Somehow related to First Hop server reputation, it's reverse-PTR resolution or domain impersonation",
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'19625305002' : '(GUESSING) Something to do with the HTML code and used tags/structures',
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'43540500002' : '(GUESSING) Something to do with the HTML code and used tags/structures',
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'460985005' : '(GUESSING) Something to do with either more-complex HTML code or with the <a> tag and its URL.',
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# Triggered on an empty text message, subject "test" - that was marked with "Domain Impersonation", however
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# ForeFront Anti-Spam headers did not support that Domain Impersonation. Weird.
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'22186003' : '(GUESSING) Something to do with either Text message (non-HTML) or probable Domain Impersonation'
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}
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```
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Should you know anything about any other Office365 anti-spam rules (or have suggestions to the ones described above) - let me know in this repo's issues, I'll add it straight away :)
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### Usage
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Install required Python3 dependencies before first use:
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```
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bash$ pip3 install -r requirements.txt
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```
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Help:
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```
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PS> py .\decode-spam-headers.py --help
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usage: decode-spam-headers.py [options] <file | --list tests>
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optional arguments:
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-h, --help show this help message and exit
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Required arguments:
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infile Input file to be analysed or --list tests to show available tests.
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Options:
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-o OUTFILE, --outfile OUTFILE
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Output file with report
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-f {json,text,html}, --format {json,text,html}
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Analysis report format. JSON, text. Default: text
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-N, --nocolor Dont use colors in text output.
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-v, --verbose Verbose mode.
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-d, --debug Debug mode.
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-l, --list List available tests and quit. Use it like so: --list tests
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Tests:
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-i tests, --include-tests tests
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Comma-separated list of test IDs to run. Ex. --include-tests 1,3,7
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-e tests, --exclude-tests tests
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Comma-separated list of test IDs to skip. Ex. --exclude-tests 1,3,7
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-r, --resolve Resolve IPv4 addresses / Domain names.
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-R, --dont-resolve Do not resolve anything.
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-a, --decode-all Decode all =?us-ascii?Q? mail encoded messages and print their contents.
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```
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If you want to run only a subset of tests, you'll first need to learn Test IDs of which to pick.
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Run the script with `-l tests` to grab that list.
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List available test and their corresponding IDs:
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```
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C:\> py decode-spam-headers.py -l tests
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[.] Available tests:
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TEST_ID - TEST_NAME
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--------------------------------------
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1 - Received - Mail Servers Flow
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2 - Extracted IP addresses
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3 - Extracted Domains
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4 - Bad Keywords In Headers
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5 - Sender Address Analysis
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6 - Subject and Thread Topic Difference
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7 - Authentication-Results
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8 - ARC-Authentication-Results
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9 - Received-SPF
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10 - Mail Client Version
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11 - User-Agent Version
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12 - X-Forefront-Antispam-Report
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13 - X-MS-Exchange-Organization-SCL
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14 - X-Microsoft-Antispam-Mailbox-Delivery
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15 - X-Microsoft-Antispam Bulk Mail
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16 - X-Exchange-Antispam-Report-CFA-Test
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17 - Domain Impersonation
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18 - SpamAssassin Spam Status
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19 - SpamAssassin Spam Level
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20 - SpamAssassin Spam Flag
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21 - SpamAssassin Spam Report
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22 - OVH's X-VR-SPAMCAUSE
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23 - OVH's X-Ovh-Spam-Reason
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24 - OVH's X-Ovh-Spam-Score
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25 - X-Virus-Scan
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26 - X-Spam-Checker-Version
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27 - X-IronPort-AV
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28 - X-IronPort-Anti-Spam-Filtered
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29 - X-IronPort-Anti-Spam-Result
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30 - X-Mimecast-Spam-Score
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31 - Spam Diagnostics Metadata
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32 - MS Defender ATP Message Properties
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33 - Message Feedback Loop
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34 - End-to-End Latency - Message Delivery Time
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36 - X-IP-Spam-Verdict
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37 - X-Amp-Result
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38 - X-IronPort-RemoteIP
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39 - X-IronPort-Reputation
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40 - X-SBRS
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41 - X-IronPort-SenderGroup
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42 - X-Policy
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43 - X-IronPort-MailFlowPolicy
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44 - X-SEA-Spam
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45 - X-FireEye
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46 - X-AntiAbuse
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47 - X-TMASE-Version
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48 - X-TM-AS-Product-Ver
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49 - X-TM-AS-Result
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50 - X-IMSS-Scan-Details
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51 - X-TM-AS-User-Approved-Sender
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52 - X-TM-AS-User-Blocked-Sender
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53 - X-TMASE-Result
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54 - X-TMASE-SNAP-Result
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55 - X-IMSS-DKIM-White-List
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56 - X-TM-AS-Result-Xfilter
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57 - X-TM-AS-SMTP
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58 - X-TMASE-SNAP-Result
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59 - X-TM-Authentication-Results
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60 - X-Scanned-By
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61 - X-Mimecast-Spam-Signature
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62 - X-Mimecast-Bulk-Signature
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63 - X-Forefront-Antispam-Report-Untrusted
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64 - X-Microsoft-Antispam-Untrusted
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65 - X-Mimecast-Impersonation-Protect
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66 - X-Proofpoint-Spam-Details
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67 - X-Proofpoint-Virus-Version
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68 - SPFCheck
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69 - X-Barracuda-Spam-Score
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70 - X-Barracuda-Spam-Status
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71 - X-Barracuda-Spam-Report
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72 - X-Barracuda-Bayes
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73 - X-Barracuda-Start-Time
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74 - Similar to SpamAssassin Spam Level headers
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75 - SMTP Header Contained IP address
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76 - Other unrecognized Spam Related Headers
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77 - Other interesting headers
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78 - Security Appliances Spotted
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79 - Email Providers Infrastructure Clues
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80 - X-Microsoft-Antispam-Message-Info (use -a to show its results)
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81 - Decoded Mail-encoded header values (use -a to show its results)
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82 - Header Containing Client IP
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83 - Office365 Tenant ID
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84 - Organization Name
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85 - MS Defender for Office365 Safe Links Version
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86 - Suspicious Words in Headers
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87 - AWS SES Outgoing
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88 - IronPort-Data
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89 - IronPort-HdrOrder
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90 - X-DKIM
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91 - DKIM-Filter
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92 - X-SpamExperts-Class
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93 - X-SpamExperts-Evidence
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94 - X-Recommended-Action
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95 - X-AppInfo
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96 - X-Spam
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97 - X-TM-AS-MatchedID
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98 - MTA Hostname Exposed
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99 - Office365 First Contact Safety Tip
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100 - EOP - Bypass Focused Inbox
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101 - EOP - Enhanced Filtering - SkipListedInternetSender
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102 - EOP - Enhanced Filtering - ExternalOriginalInternetSender
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103 - Cloudmark Analysis
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104 - The Real Sender - via Authenticated-Sender
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105 - Identified Sender Addresses
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106 - Unsual SMTP headers
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```
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### HTML Report
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In order to generate HTML report - use the following parameters:
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```
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PS> py decode-spam-headers.py headers.txt -f html -o report.html
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```
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### Sample run
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Sample run (output structure and contents come from an outdated version of the script):
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```
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PS> py decode-spam-headers.py headers.txt
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------------------------------------------
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(1) Test: Received - Mail Servers Flow
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|
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HEADER:
|
|
Received
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|
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VALUE:
|
|
...
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|
|
|
ANALYSIS:
|
|
- List of server hops used to deliver message:
|
|
|
|
--> (1) "attacker" <attacker@attacker.com>
|
|
|
|
|_> (2) SMTP-SERVICE (44.55.66.77)
|
|
time: 01 Jan 2021 12:34:20
|
|
|
|
|_> (3) mail-wr1-f51.google.com (209.85.221.51)
|
|
time: 01 Jan 2021 12:34:20
|
|
version: fuzzy match: Exchange Server 2019 CU11; October 12, 2021; 15.2.986.9
|
|
|
|
|_> (4) SN1NAM02FT0061.eop-nam02.prod.protection.outlook.com (2603:10b6:806:131:cafe::e5)
|
|
time: 01 Jan 2021 12:34:20
|
|
version: fuzzy match: Exchange Server 2019 CU11; October 12, 2021; 15.2.986.9
|
|
|
|
|_> (5) SA0PR11CA0138.namprd11.prod.outlook.com (2603:10b6:806:131::23)
|
|
time: 01 Jan 2021 12:34:20
|
|
version: fuzzy match: Exchange Server 2019 CU11; October 12, 2021; 15.2.986.9
|
|
|
|
|_> (6) CP2PR80MB4114.lamprd80.prod.outlook.com (2603:10d6:102:3c::15)
|
|
time: 01 Jan 2021 12:34:23
|
|
|
|
|_> (7) "Victim Surname" <victim@contoso.com>
|
|
|
|
|
|
|
|
------------------------------------------
|
|
|
|
[...]
|
|
|
|
------------------------------------------
|
|
(4) Test: Mail Client Version
|
|
|
|
HEADER:
|
|
X-Mailer
|
|
|
|
VALUE:
|
|
OEM
|
|
|
|
ANALYSIS:
|
|
- X-Mailer header was present and contained value: "OEM".
|
|
|
|
|
|
------------------------------------------
|
|
(5) Test: X-Forefront-Antispam-Report
|
|
|
|
HEADER:
|
|
X-Forefront-Antispam-Report
|
|
|
|
VALUE:
|
|
CIP:209.85.167.100;CTRY:US;LANG:de;SCL:5;SRV:;IPV:NLI;SFV:SPM;H:mail-lf1-f100.google.com;PTR:mail-l
|
|
f1-f100.google.com;CAT:DIMP;SFTY:9.19;SFS:(4636009)(956004)(166002)(6916009)(356005)(336012)(19
|
|
625305002)(22186003)(5660300002)(4744005)(6666004)(35100500006)(82960400001)(26005)(7596003)(7636003)(554460
|
|
02)(224303003)(1096003)(58800400005)(86362001)(9686003)(43540500002);DIR:INB;SFTY:9.19;
|
|
|
|
ANALYSIS:
|
|
- Microsoft Office365/Exchange ForeFront Anti-Spam report
|
|
|
|
- CIP: Connecting IP address: 209.85.167.100
|
|
|
|
- CTRY: The source country as determined by the connecting IP address
|
|
- US
|
|
|
|
- LANG: The language in which the message was written
|
|
- de
|
|
|
|
- IPV: Ingress Peer Verification status
|
|
- NLI: The IP address was not found on any IP reputation list.
|
|
|
|
- SFV: Message Filtering
|
|
- SPM: The message was marked as spam by spam filtering.
|
|
|
|
- H: The HELO or EHLO string of the connecting email server.
|
|
- mail-lf1-f100.google.com
|
|
|
|
- PTR: Reverse DNS of the Connecting IP peer's address
|
|
- mail-lf1-f100.google.com
|
|
|
|
- CAT: The category of protection policy
|
|
- DIMP: Domain Impersonation
|
|
|
|
- SFTY: The message was identified as phishing
|
|
- 9.19: Domain impersonation. The sending domain is attempting to impersonate a protected domain
|
|
|
|
- DIR: Direction of email verification
|
|
- INB: Inbound email verification
|
|
|
|
- Message matched 24 Anti-Spam rules (SFS):
|
|
- (1096003)
|
|
- (166002)
|
|
- (19625305002)
|
|
- (22186003)
|
|
- (224303003)
|
|
- (26005)
|
|
- (336012)
|
|
- (356005)
|
|
- (35100500006) - (SPAM) Message contained embedded image.
|
|
- (43540500002)
|
|
- (4636009)
|
|
- (4744005)
|
|
- (55446002)
|
|
- (5660300002)
|
|
- (58800400005)
|
|
- (6666004)
|
|
- (6916009)
|
|
- (7596003)
|
|
- (7636003)
|
|
- (82960400001)
|
|
- (86362001)
|
|
- (956004)
|
|
- (9686003)
|
|
|
|
- SCL: Spam Confidence Level: 5
|
|
- SPAM: Spam filtering marked the message as Spam
|
|
|
|
|
|
More information:
|
|
- https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/anti-spam-message-headers
|
|
- https://docs.microsoft.com/en-us/exchange/antispam-and-antimalware/antispam-protection/antispam-stamps
|
|
- https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/spam-confidence-levels
|
|
- https://docs.microsoft.com/en-us/exchange/monitoring/trace-an-email-message/run-a-message-trace-and-view-results
|
|
|
|
|
|
------------------------------------------
|
|
(6) Test: X-Microsoft-Antispam-Mailbox-Delivery
|
|
|
|
HEADER:
|
|
X-Microsoft-Antispam-Mailbox-Delivery
|
|
|
|
VALUE:
|
|
ucf:0;jmr:1;auth:0;dest:J;ENG:(910001)(944506458)(944626604)(750132)(520011016);
|
|
|
|
ANALYSIS:
|
|
- This header denotes what to do with received message, where to put it.
|
|
|
|
- auth: Message originating from Authenticated sender
|
|
- 0: Not Authenticated
|
|
|
|
- dest: Destination where message should be placed
|
|
- J: JUNK directory
|
|
|
|
- Message matched 6 Anti-Spam Delivery rules:
|
|
- (520011016)
|
|
- (750132)
|
|
- (910001)
|
|
- (944506458)
|
|
- (944626604)
|
|
|
|
|
|
------------------------------------------
|
|
(7) Test: X-Microsoft-Antispam Bulk Mail
|
|
|
|
HEADER:
|
|
X-Microsoft-Antispam
|
|
VALUE:
|
|
BCL:0;
|
|
|
|
ANALYSIS:
|
|
- BCL: BULK Confidence Level: 0
|
|
The message isn't from a bulk sender.
|
|
|
|
More information:
|
|
- https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/bulk-complaint-level-values
|
|
|
|
------------------------------------------
|
|
|
|
[...]
|
|
|
|
------------------------------------------
|
|
(10) Test: MS Defender ATP Message Properties
|
|
|
|
HEADER:
|
|
X-MS-Exchange-AtpMessageProperties
|
|
|
|
VALUE:
|
|
SA|SL
|
|
|
|
ANALYSIS:
|
|
- MS Defender Advanced Threat Protection enabled following protections on this message:
|
|
- Safe Attachments Protection
|
|
- Safe Links Protection
|
|
|
|
|
|
------------------------------------------
|
|
(11) Test: Domain Impersonation
|
|
|
|
HEADER:
|
|
From
|
|
|
|
VALUE:
|
|
"attacker" <attacker@attacker.com>
|
|
|
|
ANALYSIS:
|
|
- Mail From: <attacker@attacker.com>
|
|
|
|
- Mail Domain: attacker.com
|
|
--> resolves to: 11.22.33.44
|
|
--> reverse-DNS resolves to: ec2-11-22-33-44.eu-west-3.compute.amazonaws.com
|
|
(sender's domain: amazonaws.com)
|
|
|
|
- First Hop: SMTP-SERVICE (44.55.66.77)
|
|
--> resolves to:
|
|
--> reverse-DNS resolves to: host44-55-66-77.static.arubacloud.pl
|
|
(first hop's domain: arubacloud.pl)
|
|
|
|
- Domain SPF: "v=spf1 include:_spf.google.com ~all"
|
|
|
|
- WARNING! Potential Domain Impersonation!
|
|
- Mail's domain should resolve to: amazonaws.com
|
|
- But instead first hop resolved to: arubacloud.pl
|
|
```
|
|
|
|
|
|
---
|
|
|
|
### Known Issues
|
|
|
|
- `getOffice365TenantNameById(tenantID)` method is not yet finished, I know of a few ways to map Office365 Tenant GUID into Tenant Name but couldn't yet establish a stable way to do so.
|
|
- `Authentication-Results` header is not yet completely parsed - gotta include `reason` processing and other fields according to [Microsoft documentation](https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/anti-spam-message-headers?view=o365-worldwide)
|
|
|
|
---
|
|
|
|
### ☕ Show Support ☕
|
|
|
|
This and other projects are outcome of sleepless nights and **plenty of hard work**. If you like what I do and appreciate that I always give back to the community,
|
|
[Consider buying me a coffee](https://github.com/sponsors/mgeeky) _(or better a beer)_ just to say thank you! 💪
|
|
|
|
---
|
|
|
|
```
|
|
Mariusz Banach / mgeeky, (@mariuszbit)
|
|
<mb [at] binary-offensive.com>
|
|
``` |