T1213.005 Messaging ApplicationsCAUTION
Open-source AI-powered offensive security harness for automated penetration testing.
Overview
Open-source AI-powered offensive security harness for automated penetration testing.
eaf7d03223fcOBSERVED · 2026-10-18What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: "T1213.005_messaging-applications" description: "Adversaries may leverage chat and messaging applications, such as Microsoft Teams, Google Chat, and Slack, to mine valuable information." category: "information-gathering" version: "18.1" author: "cyberstrike-official" tags: - mitre-attack - enterprise - t1213.005 - collection - saas - office-suite - sub-technique technique_id: "T1213.005" tactic: "collection" all_tactics: - collection platforms: - SaaS - Office Suite mitre_url: "https://attack.mitre.org/techniques/T1213/005" tech_stack: - saas - office cwe_ids: - CWE-200 chains_with: - T1213 - T1213.001 - T1213.002 - T1213.003 - T1213.004 - T1213.006 prerequisites: - T1213 severity_boost: T1213: "Chain with T1213 for deeper attack path" T1213.001: "Chain with T1213.001 for deeper attack path" T1213.002: "Chain with T1213.002 for deeper attack path" --- # T1213.005 Messaging Applications > **Sub-technique of:** T1213 ## High-Level Description Adversaries may leverage chat and messaging applications, such as Microsoft Teams, Google Chat, and Slack, to mine valuable information. The following is a brief list of example information that may hold potential value to an adversary and may also be found on messaging applications: - Testing / development credentials (i.e., Chat Messages) - Source code snippets - Links to network shares and other internal resources - Proprietary data - Discussions about ongoing incident response efforts In addition to exfiltrating data from messaging applications, adversaries may leverage data from chat messages in order to improve their targeting - for example, by learning more about an environment or evading ongoing incident response efforts. ## Kill Chain Phase - Collection (TA0009) **Platforms:** SaaS, Office Suite ## What to Check - [ ] Identify if Messaging Applications technique is applicable to target environment - [ ] Check SaaS systems for indicators of Messaging Applications - [ ] Check Office Suite systems for indicators of Messaging Applications - [ ] Verify mitigations are bypassed or absent (3 known mitigations) - [ ] Assess detection coverage (1 detection strategies) ## How to Test ### Manual Testing 1. **Identify Attack Surface**: Determine if the target environment is susceptible to Messaging Applications by examining the target platforms (SaaS, Office Suite). 2. **Assess Existing Defenses**: Review whether mitigations for T1213.005 are in place. If defenses are absent or misconfigured, this technique may be exploitable. 3. **Execute Test**: Use tools and methods described in the MITRE ATT&CK page and external references below. > **Note**: No Atomic Red Team tests available for this technique. See [Atomic Red Team GitHub](https://github.com/redcanaryco/atomic-red-team) for updates. ## Remediation Guide ### M1017 User Training Develop and publish policies that define acceptable information to be posted in chat applications. ### M1047 Audit Preemptively search through communication services to find inappropriately shared data, and take actions to reduce exposure when found. ### M1060 Out-of-Band Communications Channel Implement secure out-of-band communication channels to use as an alternative to in-network chat applications during a security incident. This ensures that critical communications remain secure even if primary messaging channels are compromised by adversaries. ## Detection ### Detecting Unauthorized Collection from Messaging Applications in SaaS and Office Environments ## Risk Assessment | Finding | Severity | Impact | | ------------------------------------------- | -------- | ---------- | | Messaging Applications technique applicable | High | Collection | ## CWE Categories | CWE ID | Title | | ------- | --------------------------------- | | CWE-200 | Exposure of Sensitive Information | ## References - [Sentinel Labs NullBulge 2024](https://www.sentinelone.com/labs/nullbulge-threat-actor-masquerades-as-hacktivist-group-rebelling-against-ai/) - [Permiso Scattered Spider 2023](https://permiso.io/blog/lucr-3-scattered-spider-getting-saas-y-in-the-cloud) - [SC Magazine Ragnar Locker 2021](https://www.scmagazine.com/analysis/ragnar-locker-reminds-breach-victims-it-can-read-the-on-network-incident-response-chat-rooms) - [Guardian Grand Theft Auto Leak 2022](https://www.theguardian.com/games/2022/sep/19/grand-theft-auto-6-leak-who-hacked-rockstar-and-what-was-stolen) - [Microsoft DEV-0537](https://www.microsoft.com/security/blog/2022/03/22/dev-0537-criminal-actor-targeting-organizations-for-data-exfiltration-and-destruction/) - [Atomic Red Team - T1213.005](https://github.com/redcanaryco/atomic-red-team/tree/master/atomics/T1213.005) - [MITRE ATT&CK - T1213.005](https://attack.mitre.org/techniques/T1213/005)
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
packages/app/public/apple-touch-icon-v3.png
packages/app/public/apple-touch-icon.png
packages/app/public/favicon-96x96-v3.png
packages/app/public/favicon-96x96.png
packages/app/public/favicon-v3.ico
Gates applied: no_behavioural_pass.
eaf7d03223fcfull audit observations/trust-audit/skill/cyberstrikeus__t1213.005_messaging-applications.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-18 | eaf7d03223fc | CAUTION | B | 89 | first audit |
Questions
What does the T1213.005 Messaging Applications skill do?
Open-source AI-powered offensive security harness for automated penetration testing.
Is T1213.005 Messaging Applications safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can T1213.005 Messaging Applications access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (eaf7d03223fc), read on 2026-10-18. The repository is watched, and a new audit runs when it changes — this is the first audit.
Add this badge to your README
Shows this page's audit result and links back to it. It updates when the audit does.
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