analyzing-outlook-pst-for-email-forensics

analyzing-outlook-pst-for-email-forensics is a skill for Claude Code from mukul975/Anthropic-Cybersecurity-Skills. It costs 83 tokens per session (3,014 once invoked), scanned A, original, Apache-2.0.

A forensic analysis guide for Outlook PST and OST files, which are local files that store email, calendars, contacts, and other Outlook data. It uses libpff and related tools to extract messages, headers, attachments, deleted items, and other stored details.

In plain words
What is it for?
Use it for email forensics, legal e-discovery, and incident response to extract message content, routing headers, attachments, deleted items, and MAPI metadata, including recoverable items.
Why use it?
It lets investigators examine mailbox evidence safely and recover information that may not be visible in Outlook. This can help trace messages, find malicious attachments, and reconstruct communications.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cybersecurity-skills plugin — 56 skills shipped together

Good fit Use it for email forensics, legal e-discovery, and incident response to extract message content, routing headers, attachments, deleted items, and MAPI metadata, including recoverable items.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mukul975/anthropic-cybersecurity-skills/analyzing-outlook-pst-for-email-forensics
About the project

Anthropic Cybersecurity Skills is a library of structured cybersecurity procedures for AI agents, covering security domains and mappings to established security frameworks. It is for authorized security analysis, penetration testing, incident response, research, defense, and education across compatible AI platforms. The catalogue entries package parts of this library as agent skills, instructions, or a plugin.

mukul975/Anthropic-Cybersecurity-Skills · 32,631 stars · on GitHub · mahipal.engineer

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-outlook-pst-for-email-forensics
Clone the repo
git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills

Made for: Claude Code.

Or install cybersecurity-skills, the plugin that ships this one along with the rest of its 56 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyzing-outlook-pst-for-email-forensics

README.md
[![agentmods](https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/analyzing-outlook-pst-for-email-forensics/github.svg)](https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/analyzing-outlook-pst-for-email-forensics)
Your own site
<a href="https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/analyzing-outlook-pst-for-email-forensics"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/analyzing-outlook-pst-for-email-forensics/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyzing-outlook-pst-for-email-forensics

Your own site · 80×15
<a href="https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/analyzing-outlook-pst-for-email-forensics"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/analyzing-outlook-pst-for-email-forensics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,014 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk warn 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00083 $0.03014
Opus 5 $0.00042 $0.01507
Sonnet 5 $0.00017 $0.00603
Haiku 4.5 $0.00008 $0.00301

Measured 13d ago against content hash 204d96e20e62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

analyzing-outlook-pst-for-email-forensics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

7 near-identical copies found in the catalogue:

skills/analyzing-outlook-pst-for-email-forensics/SKILL.md · 355 lines

How it starts

The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing Outlook PST for Email Forensics

Overview

Microsoft Outlook PST (Personal Storage Table) and OST (Offline Storage Table) files are critical evidence sources in digital forensics investigations. PST files store email messages, calendar events, contacts, tasks, and notes in a proprietary binary format based on the MAPI (Messaging Application Programming Interface) property system. Forensic analysis of these files enables recovery of deleted emails (from the Recoverable Items folder), extraction of email headers for tracing message routes, analysis of attachments for malware or exfiltrated data, and reconstruction of communication patterns. Modern PST files use Unicode format with 4KB pages and can grow up to 50GB, while legacy ANSI format is limited to 2GB.

When to Use

  • When investigating security incidents that require analyzing outlook pst for email forensics
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • libpff/pffexport (open-source PST parser)
  • Python 3.8+ with pypff or libratom libraries
  • MailXaminer, Forensic Email Collector, or SysTools PST Forensics (commercial)
  • Microsoft Outlook (optional, for native PST access)
  • Sufficient disk space for extracted content

PST File Locations

Source Path
Outlook 2016+ Default %USERPROFILE%\Documents\Outlook Files*.pst
Outlook Legacy %LOCALAPPDATA%\Microsoft\Outlook*.pst
OST Cache %LOCALAPPDATA%\Microsoft\Outlook*.ost
Archive %USERPROFILE%\Documents\Outlook Files\archive.pst

Analysis with Open-Source Tools

libpff / pffexport

# Export all items from PST file
pffexport -m all evidence.pst -t exported_pst

# Export only email messages
pffexport -m items evidence.pst -t exported_emails

# Export recovered/deleted items
pffexport -m recovered evidence.pst -t recovered_items

# Get PST file information
pffinfo evidence.pst

Read the full file on GitHub · 355 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 355 lines · 83 tokens per session scan A 204d96e20e62

Subscribe to this mod's changes

analyzing-outlook-pst-for-email-forensics is a skill published in the GitHub repository mukul975/Anthropic-Cybersecurity-Skills (32,631 stars, last pushed 12d ago), licensed Apache-2.0. It adds 83 tokens to every session and 3,014 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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analyzing-outlook-pst-for-email-forensics

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

xalgorix/xalgorix · 56 tokens

analyzing-outlook-pst-for-email-forensics

A guide to examining Outlook PST and OST files, which are files that store email and other Outlook data. It covers extracting messages, headers, attachments, deleted items, and related metadata for investigations.

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analyzing-outlook-pst-for-email-forensics

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

26zl/cybersec-toolkit · 56 tokens

analyzing-outlook-pst-for-email-forensics

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

pinkpixel-dev/skills-collection-1 · 56 tokens

analyzing-outlook-pst-for-email-forensics

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

marysatasselshaped667/skills-collection-1 · 56 tokens

analyzing-outlook-pst-for-email-forensics

Parse Microsoft Outlook PST and OST files using libpff and pst-utils to extract message content, headers, attachments, deleted items, and MAPI metadata, including recovery of items from the Recoverable Items folder. Use when conducting email forensic investigations, legal e-discovery, or incident response that…

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