T1589.001 CredentialsBLOCK
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: "T1589.001_credentials" description: "Adversaries may gather credentials that can be used during targeting." category: "information-gathering" version: "18.1" author: "cyberstrike-official" tags: - mitre-attack - enterprise - t1589.001 - reconnaissance - pre - sub-technique technique_id: "T1589.001" tactic: "reconnaissance" all_tactics: - reconnaissance platforms: - PRE mitre_url: "https://attack.mitre.org/techniques/T1589/001" tech_stack: - pre cwe_ids: - CWE-200 chains_with: - T1589 - T1589.002 - T1589.003 prerequisites: - T1589 severity_boost: T1589: "Chain with T1589 for deeper attack path" T1589.002: "Chain with T1589.002 for deeper attack path" T1589.003: "Chain with T1589.003 for deeper attack path" --- # T1589.001 Credentials > **Sub-technique of:** T1589 ## High-Level Description Adversaries may gather credentials that can be used during targeting. Account credentials gathered by adversaries may be those directly associated with the target victim organization or attempt to take advantage of the tendency for users to use the same passwords across personal and business accounts. Adversaries may gather credentials from potential victims in various ways, such as direct elicitation via Phishing for Information. Adversaries may also compromise sites then add malicious content designed to collect website authentication cookies from visitors. Where multi-factor authentication (MFA) based on out-of-band communications is in use, adversaries may compromise a service provider to gain access to MFA codes and one-time passwords (OTP). Credential information may also be exposed to adversaries via leaks to online or other accessible data sets (ex: Search Engines, breach dumps, code repositories, etc.). Adversaries may purchase credentials from dark web markets, such as Russian Market and 2easy, or through access to Telegram channels that distribute logs from infostealer malware. Gathering this information may reveal opportunities for other forms of reconnaissance (ex: Search Open Websites/Domains or Phishing for Information), establishing operational resources (ex: Compromise Accounts), and/or initial access (ex: External Remote Services or Valid Accounts). ## Kill Chain Phase - Reconnaissance (TA0043) **Platforms:** PRE ## What to Check - [ ] Identify if Credentials technique is applicable to target environment - [ ] Check PRE systems for indicators of Credentials - [ ] Verify mitigations are bypassed or absent (1 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 Credentials by examining the target platforms (PRE). 2. **Assess Existing Defenses**: Review whether mitigations for T1589.001 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 ### M1056 Pre-compromise This technique cannot be easily mitigated with preventive controls since it is based on behaviors performed outside of the scope of enterprise defenses and controls. Efforts should focus on minimizing the amount and sensitivity of data available to external parties. ## Detection ### Detection of Credentials ## Risk Assessment | Finding | Severity | Impact | | -------------------------------- | -------- | -------------- | | Credentials technique applicable | High | Reconnaissance | ## CWE Categories | CWE ID | Title | | ------- | --------------------------------- | | CWE-200 | Exposure of Sensitive Information | ## References - [Bleeping Computer 2easy 2021](https://www.bleepingcomputer.com/news/security/2easy-now-a-significant-dark-web-marketplace-for-stolen-data/) - [ATT ScanBox](https://cybersecurity.att.com/blogs/labs-research/scanbox-a-reconnaissance-framework-used-on-watering-hole-attacks) - [Detectify Slack Tokens](https://labs.detectify.com/writeups/slack-bot-token-leakage-exposing-business-critical-information/) - [GitHub truffleHog](https://github.com/dxa4481/truffleHog) - [Bleeping Computer Stealer Logs 2023](https://www.bleepingcomputer.com/news/security/dissecting-the-dark-web-supply-chain-stealer-logs-in-context/) - [Register Uber](https://www.theregister.com/2015/02/28/uber_subpoenas_github_for_hacker_details/) - [GitHub Gitrob](https://github.com/michenriksen/gitrob) - [CNET Leaks](https://www.cnet.com/news/massive-breach-leaks-773-million-emails-21-million-passwords/) - [Okta Scatter Swine 2022](https://sec.okta.com/scatterswine) - [Forbes GitHub Creds](https://www.forbes.com/sites/runasandvik/2014/01/14/attackers-scrape-github-for-cloud-service-credentials-hijack-account-to-mine-virtual-currency/#242c479d3196) - [SecureWorks Infostealers 2023](https://www.secureworks.com/research/the-growing-threat-from-infostealers) - [Register Deloitte](https://www.theregister.com/2017/09/26/deloitte_leak_github_and_google/) - [Atomic Red Team - T1589.001](https://github.com/redcanaryco/atomic-red-team/tree/master/atomics/T1589.001) - [MITRE ATT&CK - T1589.001](https://attack.mitre.org/techniques/T1589/001)
Trust audit
BLOCKgrade D · trust 69/100 Do not install this without reading the findings. The audit found something that could harm you or your machine.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | FAIL |
| 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 (9)
description: "Adversaries may gather credentials that can be used during targeting."
Adversaries may gather credentials that can be used during targeting. Account credentials gathered by adversaries may be those directly associated with the target victim organization or attempt to tak
Adversaries may gather credentials from potential victims in various ways, such as direct elicitation via Phishing for Information. Adversaries may also compromise sites then add malicious content des
Adversaries may gather credentials that can be used during targeting.
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Gates applied: no_behavioural_pass.
eaf7d03223fcfull audit observations/trust-audit/skill/cyberstrikeus__t1589.001_credentials.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 | BLOCK | D | 69 | first audit |
Questions
What does the T1589.001 Credentials skill do?
Open-source AI-powered offensive security harness for automated penetration testing.
Is T1589.001 Credentials safe to install?
No — not without reading the findings first. The audit graded it D (69/100) and found 4 critical or high issues in the source. Each one is listed on this page with the file and line it is on.
What can T1589.001 Credentials 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.
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Shows this page's audit result and links back to it. It updates when the audit does.
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