hunting-saas-sso-token-abuse

hunting-saas-sso-token-abuse is a skill for Claude Code, Codex from adriannoes/awesome-agentic-ai. It costs 23 tokens per session (2,674 once invoked), scanned A, original, MIT.

A guide to detecting stolen SSO and OAuth tokens being reused to access cloud software. SSO lets one login reach several services, while token replay means an attacker reuses the login proof without entering the password or passing MFA again.

In plain words
What is it for?
Use it to investigate Microsoft Entra ID sign-in records, connect related sessions and tokens, and look for token theft or cloud lateral movement.
Why use it?
It helps find account takeovers that may not produce failed-login alerts. Correlating identity records can expose suspicious reuse of a session across SaaS services.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to investigate Microsoft Entra ID sign-in records, connect related sessions and tokens, and look for token theft or cloud lateral movement.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adriannoes/awesome-agentic-ai/hunting-saas-sso-token-abuse
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 adriannoes/awesome-agentic-ai --skill hunting-saas-sso-token-abuse
Clone the repo
git clone --depth 1 https://github.com/adriannoes/awesome-agentic-ai

Made for: Claude Code, Codex.

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 hunting-saas-sso-token-abuse

README.md
[![agentmods](https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunting-saas-sso-token-abuse/github.svg)](https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunting-saas-sso-token-abuse)
Your own site
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunting-saas-sso-token-abuse"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunting-saas-sso-token-abuse/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 hunting-saas-sso-token-abuse

Your own site · 80×15
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunting-saas-sso-token-abuse"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunting-saas-sso-token-abuse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,674 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 27
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 72
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 74
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Rogue Agent · line 124
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 $0.00023 $0.02674
Opus 5 $0.00012 $0.01337
Sonnet 5 $0.00005 $0.00535
Haiku 4.5 $0.00002 $0.00267

Measured 9d ago against content hash f1da72bf0a50, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hunting-saas-sso-token-abuse scanned grade A with 1 finding 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 9d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/hunting-saas-sso-token-abuse/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hunting SaaS SSO Token Abuse

Overview

Adversaries increasingly bypass MFA not by defeating it but by stealing the artifacts issued after a successful authentication — session cookies, OAuth access/refresh tokens, and Primary Refresh Tokens (PRTs). With a stolen token an attacker replays the existing session ("pass-the-cookie" / token replay), inheriting the victim's authenticated state across federated SaaS without ever prompting for credentials or MFA. Mandiant's M-Trends reporting and Microsoft/Okta incident data both highlight token theft as a dominant cloud lateral-movement technique, mapped to MITRE ATT&CK T1550.001 Use Alternate Authentication Material: Application Access Token.

Detection relies on correlating identity telemetry rather than watching for failed logins. In Microsoft Entra ID the key tables are SigninLogs (interactive), AADNonInteractiveUserSignInLogs (where replayed cookies/refresh tokens commonly surface), and AADServicePrincipalSignInLogs. Entra now exposes linkable identifiersSessionId and UniqueTokenIdentifier — that let a hunter stitch every artifact derived from one root authentication event together and spot a single session being used from multiple IPs, ASNs, or device fingerprints. In Okta the System Log carries authentication.sso, policy.evaluate_sign_on, and user.session.start events with a deviceToken/session context; the same session token appearing from divergent IPs/user-agents is the tell. Okta Identity Threat Protection (ITP) can natively flag "suspected session hijacking."

This skill provides a hypothesis-driven hunt: baseline normal session behavior, then look for impossible travel within a single session, refresh-token reuse, token use from anomalous infrastructure (hosting/VPS ASNs), and SaaS access patterns inconsistent with the user's device. Source: MITRE ATT&CK T1550.001; Microsoft Entra ID sign-in log documentation; Okta System Log reference; Mandiant M-Trends.

When to Use

  • Threat hunting for MFA-bypass via stolen tokens/cookies across Entra ID and SaaS
  • Investigating an alert for impossible travel, anomalous OAuth grant, or token reuse
  • Validating detection coverage for T1550.001 after a phishing/AiTM incident
  • Building Sentinel/Splunk/Okta detections for session-token replay
  • Post-incident hunting to scope SaaS lateral movement from a compromised identity

Read the full file on GitHub · 223 lines

Files

What ships with it

4 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. 9d ago First seen · 223 lines · 23 tokens per session scan A f1da72bf0a50

Subscribe to this mod's changes

hunting-saas-sso-token-abuse is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 23 tokens to every session and 2,674 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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