AperiSolve - Steganalysis web platform

项目说明

Aperi'Solve

![Website]()
!CI
!Lint
!Docker
!Python
!Ruff
!uv
!ty
!License
!GitHub Issues
!GitHub Pull Requests
!Last Commit
!Contributors
![Rawsec's CyberSecurity In]()

<p align="center">
<a href="
<img src=" alt="Aperi'Sol" />
</a>
</p>

Try it now:

Support Aperi'Solve:

<a href="
<img src=" alt="Sponsor Aperi'Solve on GitHub" />
</a>

---

Aperi'Solve is an open-source steganalysis web platform that performs automated analysis on images to detect and extract hidden data using common steganography tools and techniques.

Key features

each bit layer (LSB and other layers) per image channel (R/G/B/Alpha).

Color remapping (random palette remaps with 8 generated )

Runs 16 analyzers in parallel and displays their output, with per-tool

success/no-result badges and one-click download of extracted files:
- binwalk (embedded archives)
- exiftool (metadata and geolocation)
- file (MIME type and format detection)
- GraphicsMagick identify (image info & properties)
- foremost (car)
- jsteg (JPEG LSB extraction)
- jpseek / jphide (JPEG steganography extraction, with password)
- openstego (extraction with password)
- outguess (extraction with password, deep analysis)
- pcrt (PNG check & repair)
- pngcheck
- steghide (extraction with password)
- strings
- zsteg (LSB text/data extraction)

In-app wiki (/wiki): a HackTricks-style

steganography handbook — a triage methodology, a decision-tree cheatsheet,
technique pages per medium (image, audio, text, files), and a guide per
analyzer, all authored as Markdown.

Internationalization: UI a in English, French, Spanish, German,

Russian, Chinese and Portuguese under language-prefixed URLs (/fr/, /es/, …).

Worker queue architecture for offloading heavy/slow analyzers (Redis + background workers).

Content-addressed result cache, HTTP caching, and per-endpoint rate limiting.

Results stored temporarily for later browsing and download, then cleaned up

automatically by a scheduled job.

Adding an analyzer

Adding an analyzer is a single file: subclass SubprocessAnalyzer, set a few
class attributes (name, has_archive, needs_password, deep_only,
display_order), and install the tool in the Dockerfile. The worker run
list, download allow-list, and frontend order are all deri.
See docs/adding-analyzer.md.

Quick start (Docker)

In case you want to host your own of

> Required: Docker + Docker Compose.

Then browse url:

Ads and analytics are disabled by default; every integration
(CUSTOM_EXTERNAL_SCRIPT, GOOGLE_ADS_TXT, SITE_BASE_URL, Sentry) is
opt-in documented in .en.
The app ne ad markup itself: CUSTOM_EXTERNAL_SCRIPT loads the
AdSense script and placement is left to Auto ads.

Architecture

The stack runs as Docker Compose services:

web — Flask app served by gunicorn (Jinja templates + JS frontend).

worker — an RQ worker that runs the analyzers for each submission,

fanning out to one thread per tool.

cron — an RQ cron scheduler that runs the retention cleanup off the

request path.

initdb — a one-shot service that creates the tables and pre-fills the

IHDR CRC recovery database.

postgres — stores image metadata and submission status.

redis — RQ broker (DB 0) and rate-limiter storage (DB 1).

rqdashboard — queue monitoring, bound to localhost:9181.

This separation keeps hea (binwalk, foremost, zsteg, etc.) isolated
and avoids blocking the web worker. Identical submissions are deduplicated by
a content hash, and deri are cached with long-li HTTP
headers, so repeat traffic is cheap.

Documentation

docs/adding-analyzer.md — add a new analyzer.

docs/deploy.md — the tag-dri deploy flow.

CONTRIBUTING.md — de, tests, wiki pages, and translations.

Testing

Roadmap

See Issues.

Contributing

See CONTRIBUTING.md.

Security

> [!WARNING]
> If you discover a security issue, please report it pri to the repository owner instead of opening a public issue.

Credits

Thanks to donors:

Philip Zimmermann

Ed Guillory

Silje Hollås

Thanks to contributors:

Zeecka - (author)

aradhyacp

Philip Zimmermann

abneeeees

Thanks to the open-source community:
binwalk, exiftool, GraphicsMagick identify, foremost, jsteg, jphide/jpseek, openstego, outguess, pcrt, pngcheck, steghide, strings, zsteg, ...

项目信息

开发语言：Python

Star 数：848

技术要点

该项目属于CTF思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Steganalysis web platform展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。