peepdf
Powerful Python tool to analyze PDF documents (by jesparza)
pdfalyzer
Analyze PDFs. With colors. And Yara. (by michelcrypt4d4mus)
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| peepdf | pdfalyzer | |
|---|---|---|
| 5 | 8 | |
| 1,195 | 216 | |
| - | - | |
| 0.0 | 6.9 | |
| about 2 years ago | 19 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
peepdf
Posts with mentions or reviews of peepdf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-10.
- Peepdf – Powerful Python tool to analyze PDF documents
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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
This tool was built to fill a gap in the PDF assessment landscape. Didier Stevens's pdfid.py and pdf-parser.py are still the best game in town when it comes to PDF analysis tools but they lack in the visualization department and also don't give you much to work with as far as giving you a data model you can write your own code around. Peepdf seemed promising but turned out to be in a buggy, out of date, and more or less unfixable state. And neither of them offered much in the way of tooling for embedded binary analysis. Thus I felt the world might be slightly improved if I strung together a couple of more stable/well known/actively maintained open source projects (AnyTree, PyPDF2, and Rich) into this tool.
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Pictures of the NOOK and Jacks email to Forrest June 5,2020!
If the images are originals and were objects added to the PDF, they can be extracted with specialized tools like peepdf or PDFStreamDumper. You could just try a right click, save image, and see if that works. Is the PDF available for download somewhere?
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PDF Forensics
Ok so I found a tool called "peepdf" https://github.com/jesparza/peepdf which did what I was looking for! Thank you all for the suggestions.
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Linux Tool for Checking the Safety of a PDF
Peepdf github
pdfalyzer
Posts with mentions or reviews of pdfalyzer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-10.
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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.
What are some alternatives?
When comparing peepdf and pdfalyzer you can also consider the following projects:
pdfstreamdumper - research tool for the analysis of malicious pdf documents. make sure to run the installer first to get all of the 3rd party dlls installed correctly.
Malware-IOCs
PyPDF2 - A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
pypdfium2 - Python bindings to PDFium