pdfalyzer
theZoo
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pdfalyzer | theZoo | |
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8 | 64 | |
213 | 10,654 | |
- | - | |
6.9 | 2.8 | |
12 days ago | 14 days ago | |
Python | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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pdfalyzer
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Are there any PDF specific YARA rules you know of that are not collected in The Pdfalyzer repo yet?
Direct link to the folder with 3 .yara files compiling a bunch of YARA rule sources. Looking for anything not represented here, or even ideas for such.
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The Pdfalyzer is a tool for visualizing the inner tree structure of a PDF in large and colorful diagrams as well as scanning its internals for suspicious content
The Pdfalyzer is a command line tool (paralyze) as well as a library for working with, visualizing, and scanning the contents of a PDF. Motivation for the project was personal: I got hacked by a PDF that turned out to be hiding its maleficent instructions inside the font binary where it was missed by modern malware scanners (twitter thread) (more details)
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The Yaralyzer is a new tool for visualizing / force decoding YARA and regular expression matches in binary and text
A few weeks ago I made a post here about a PDF that evaded all malware detection and caused a security breach, almost certainly through PDF instructions hidden inside of an Adobe Type1 Font binary stream embedded within a PDF. At the time I posted a link to a tool I wrote called The Pdfalyzer that diagrams a PDF's internal and scans for various suspect content.
- Any useful cybersecurity software under $5k?
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Novel PDF malware: injecting JavaScript into the encrypted section of Adobe Type 1 font binaries is not detectable by malware scanners and doesn't interfere with decryption/decompilation of the font (along with a new tool for malicious PDF analysis)
I dramatically scaled up the binary data scouring and visualization in the pdfalyzer... can rip through every backtick/frontslash/single or double quoted/etc etc set of bytes in the binaries and try a bunch of aggressive approaches to force decode them.
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Novel (?) PDF attack (and a new PDF visualization/threat assessment tool): injecting JavaScript into the encrypted section of Adobe Type 1 font binaries is not detectable by malware scanners (nor does it interfere with the decryption of the font)
The tool is the the pdfalyzer; I just open sourced it. Meant to fill in some gaps around pdf-parser.py and the rest of Didier Stevens's malicious PDF toolkit. Makes pretty charts, previews binary data, and (most importantly) digs through PDF font binaries for potentially executable stuff. Example output can be seen at the GitHub link.
theZoo
- TheZoo a.k.a. Malware DB
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Tools to demonstrate malware or ransomware infected PC
Any.run as others have suggested or you could spin up a sandbox. As far as demonstrating, you can’t do better than the live malware https://github.com/ytisf/theZoo.
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Worms for practice
Dunno about safe, but you could have a look at The Zoo.
- Repo Collection for Malware analysis enthusiasts
- Diablo I/II/III/IV/Immortal Class Randomizer
- GitHub - INeddHelp/Destroyer: It destroys your pc
- Gshade updates discontinued ;-;
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How to write malware
vx-underground The Zoo
- Malware source code to investigate
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Dummy email data for demonstration purposes?
Not sure if any examples of mail in TheZoo as well. https://github.com/ytisf/theZoo
What are some alternatives?
peepdf - Powerful Python tool to analyze PDF documents
DDOS-RootSec - DDOS Archive by RootSec (Scanners, BotNets (Mirai and QBot Premium & Normal and more), Exploits, Methods, Sniffers)
pypdfium2 - Python bindings to PDFium
Malware-Sample-Sources - Malware Sample Sources
Malware-IOCs
NoRussian - Volunteer DoS tool via HTML + JS
DidierStevensSuite - Please no pull requests for this repository. Thanks!
malware-samples - A collection of malware samples caught by several honeypots i manage
SysmonForLinux
drakvuf-sandbox - DRAKVUF Sandbox - automated hypervisor-level malware analysis system
CyberPipe - An easy to use PowerShell script to collect memory and disk forensics for DFIR investigations.
MalwareSourceCode - Collection of malware source code for a variety of platforms in an array of different programming languages.