atarus-phishcheck - Defensive email security analyzer. Parse headers,

项目说明

atarus-phishcheck

Defensi security analyzer. Paste in a suspicious email, get structured analysis with a phishing likelihood score, IOC in, and a safe rendered preview of the email body.

Built for SOC analysts, incident responders, and anyone who needs to make a quick, defensible call on whether an email is phishing.

What it does

Parses email structure

Checks authentication

Extracts indicators of compromise

Analyzes content

Detects brand impersonation

Library of 25+ major brands (PayPal, Microsoft, Google, Apple, Amazon, Chase, Bank of America, Wells Fargo, Citibank, American Express, IRS, USPS, UPS, FedEx, DHL, DocuSign, Adobe, Zoom, Slack, GitHub, Okta, LinkedIn, Netflix, Dropbox, Facebook). Flags emails that claim to be from a known brand when the sender domain is not legitimate.

Catches lookalike domains

Expands URL shorteners

Safely follows redirect chains with HEAD requests (no page load) to reveal the real destination behind bit.ly, tinyurl, t.co, and 14 other shorteners.

Geolocates sending infrastructure

Looks up country, city, ISP, organization, and ASN for every IP in the Recei. Flags proxy/, hosting-provider origin, and geographic mismatches (email claims US brand but originates elsewhere).

Checks threat intel feeds

Produces defensible output

Batch mode for SOC triage

Point at a directory of .eml files or an mbox archive. Get a progress bar, per-email reports, and a landing page with all results sorted by phish score.

Install

Usage

Single email

Batch mode

Batch mode generates batch-summary.html in the output directory with a sortable table of all results linking to each indi report.

Offline mode

Skips all external lookups (URLhaus, MalwareBazaar, ip-api, URL expansion). Use for air-gapped en or pri analysis.

Try the sample

The included synthetic phishing email triggers 14 findings (9 high-se) with a phish score of 100/100:

How the score works

Se aggregation of findings:

:

Privacy and safety

Part of the atarus- tool suite

License

MIT

Built by

Atarus Offensi

项目信息

开发语言：Python

Star 数：1

技术要点

该项目属于防护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Defensive email security analyzer. Parse headers, check SPF/DKIM/DMARC, extract IOCs, score phishing likelihood 0-100. HTML and JSON output.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。