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## `decode-spam-headers.py`
# decode-spam-headers.py
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!
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.
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.
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.
## Info
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 **79+** tests will attempt to decode them as much as possible.
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Resulting output will contain useful information on why this e-mail might have been blocked.
### Example screenshots
### Example Screenshots
- Chain of MTA servers (nicely parsed `Received` headers):
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### Sample run
Sample run:
Sample run (output structure and contents come from an outdated version of the script):
```
PS> py decode-spam-headers.py headers.txt
@ -460,3 +469,19 @@ ANALYSIS:
- Mail's domain should resolve to: amazonaws.com
- But instead first hop resolved to: arubacloud.pl
```
---
### ☕ 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>
```