peepdf
peepdf: A focused PDF forensics tool for inspecting structure, scripts and shellcode. Ranked #21 of 23 in File Analysis Software by our editors (6.4/10); pricing: Free plan; best for analysts inspecting suspicious PDF internals.
At a glance
- Editor score6.4 / 10
- PricingFree plan
- Best forAnalysts inspecting suspicious PDF internals
- Free planYes
- Paid fromFree
- Facts checked25 Sep 2026
Where it wins
- Parses PDF objects, streams, metadata and modification history
- Extracts objects, JavaScript and shellcode for further analysis
- Offers command-line, interactive-console and batch modes
Where it doesn't
- Specializes in PDF analysis rather than general file analysis
- Some analysis functions require external packages
- Support is community-based
Our verdict on peepdf
peepdf is a Python tool for examining PDF documents, particularly for security researchers assessing potentially harmful files. It parses PDF structure and versions, displays objects and suspicious elements, handles common filters and encodings, and can inspect encrypted files. Its command-line, interactive-console and batch modes suit analysts who want to inspect files locally and choose between scripted or interactive work. The documented platform guidance covers Windows and Linux; the project is distributed as source code and can be run with Python.
Its strongest fit is PDF forensics rather than broad file triage. Analysts can inspect metadata, offsets, references and modification history, search strings inside streams, and extract objects, JavaScript and shellcode. The tool also supports analysis and modification of JavaScript embedded in PDFs, plus shellcode analysis through the pylibemu wrapper. Hash checks with VirusTotal add a way to consult that service during examination. Some analysis functions require external packages, so the available workflow can depend on installing those alongside the project.
peepdf is open source and self-hosted, with a free plan and community support. That makes it a practical option for solo analysts and small teams who need source-based PDF inspection and are comfortable running a Python tool. Its narrow scope is also its main boundary: teams seeking general file analysis, broader platform guidance, or a more established support channel should consider alternatives. Choose peepdf when PDF internals, embedded scripts and shellcode are the specific investigation; look elsewhere when PDF analysis is only one part of a wider file-analysis workflow.
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peepdf pricing
peepdf fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment model | On_premise |
| Sensitive-data scanning | Not verified |
| File classification | Not verified |
| Duplicate detection | Not verified |
| Remediation actions | Not verified |
| API access | Not verified |
| Deployment | Self-hosted |
| Platforms | Windows, Linux |
| Support | Community |
| Built for | Solo, Small business (editorial estimate) |
| Integrations | 1 integrations: VirusTotal |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 25 Sep 2026 |
peepdf integrations
peepdf lists 1 integrations on its own site.
- VirusTotal
Alternatives to peepdf
- Varonis Data Discovery and ClassificationBroad enterprise discovery pairs flexible classification with exposure prioritization and DLP controls.9.4
- Thales CipherTrust Data Discovery and ClassificationBroad discovery and classification for enterprises managing hybrid data stores.9.2
- Netwrix Data ClassificationRule-based discovery and remediation for organizations managing sensitive data across repositories.8.9
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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