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README.md
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README.md
@ -15,6 +15,8 @@ This script also extracts all IPv4 addresses and domain names and performs full
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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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@ -111,6 +113,116 @@ Processed headers (more than **67+** headers are parsed):
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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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------------------------------------------
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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' : 'Mail body contained <a> tag with URL containing 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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}
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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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Help:
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