Atlas / Skills / cyberstrikeus / T1608.006 Seo Poisoning

T1608.006 Seo PoisoningCAUTION

skills/cyberstrikeus/t1608-006-seo-poisoning

Open-source AI-powered offensive security harness for automated penetration testing.

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
18.1
Hosts
—
License
AGPL-3.0
Stars
3,185
01

Overview

Open-source AI-powered offensive security harness for automated penetration testing.

Read from source at commit eaf7d03223fcOBSERVED · 2026-10-18
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02

What 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: "T1608.006_seo-poisoning"
description: "Adversaries may poison mechanisms that influence search engine optimization (SEO) to further lure staged capabilities towards potential victims."
category: "information-gathering"
version: "18.1"
author: "cyberstrike-official"
tags:
  - mitre-attack
  - enterprise
  - t1608.006
  - resource-development
  - pre
  - sub-technique
technique_id: "T1608.006"
tactic: "resource-development"
all_tactics:
  - resource-development
platforms:
  - PRE
mitre_url: "https://attack.mitre.org/techniques/T1608/006"
tech_stack:
  - pre
cwe_ids: []
chains_with:
  - T1608
  - T1608.001
  - T1608.002
  - T1608.003
  - T1608.004
  - T1608.005
prerequisites:
  - T1608
severity_boost:
  T1608: "Chain with T1608 for deeper attack path"
  T1608.001: "Chain with T1608.001 for deeper attack path"
  T1608.002: "Chain with T1608.002 for deeper attack path"
---

# T1608.006 SEO Poisoning

> **Sub-technique of:** T1608

## High-Level Description

Adversaries may poison mechanisms that influence search engine optimization (SEO) to further lure staged capabilities towards potential victims. Search engines typically display results to users based on purchased ads as well as the site’s ranking/score/reputation calculated by their web crawlers and algorithms.

To help facilitate Drive-by Compromise, adversaries may stage content that explicitly manipulates SEO rankings in order to promote sites hosting their malicious payloads (such as Drive-by Target) within search engines. Poisoning SEO rankings may involve various tricks, such as stuffing keywords (including in the form of hidden text) into compromised sites. These keywords could be related to the interests/browsing habits of the intended victim(s) as well as more broad, seasonably popular topics (e.g. elections, trending news).

In addition to internet search engines (such as Google), adversaries may also aim to manipulate specific in-site searches for developer platforms (such as GitHub) to deceive users towards Supply Chain Compromise lures. In-site searches will rank search results according to their own algorithms and metrics such as popularity which may be targeted and gamed by malicious actors.

Adversaries may also purchase or plant incoming links to staged capabilities in order to boost the site’s calculated relevance and reputation.

SEO poisoning may also be combined with evasive redirects and other cloaking mechanisms (such as measuring mouse movements or serving content based on browser user agents, user language/localization settings, or HTTP headers) in order to feed SEO inputs while avoiding scrutiny from defenders.

## Kill Chain Phase

- Resource Development (TA0042)

**Platforms:** PRE

## What to Check

- [ ] Identify if SEO Poisoning technique is applicable to target environment
- [ ] Check PRE systems for indicators of SEO Poisoning
- [ ] 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 SEO Poisoning by examining the target platforms (PRE).

2. **Assess Existing Defenses**: Review whether mitigations for T1608.006 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.

## Detection

### Detection of SEO Poisoning

## Risk Assessment

| Finding                            | Severity | Impact               |
| ---------------------------------- | -------- | -------------------- |
| SEO Poisoning technique applicable | Low      | Resource Development |

## CWE Categories

| CWE ID | Title                 |
| ------ | --------------------- |
| N/A    | No direct CWE mapping |

## References

- [MalwareBytes SEO](https://www.malwarebytes.com/blog/news/2018/05/seo-poisoning-is-it-worth-it)
- [Atlas SEO](https://atlas-cybersecurity.com/cyber-threats/threat-actors-use-search-engine-optimization-tactics-to-redirect-traffic-and-install-malware/)
- [Sophos Gootloader](https://news.sophos.com/en-us/2021/03/01/gootloader-expands-its-payload-delivery-options/)
- [DFIR Report Gootloader](https://thedfirreport.com/2022/05/09/seo-poisoning-a-gootloader-story/)
- [ZScaler SEO](https://www.zscaler.com/blogs/security-research/ubiquitous-seo-poisoning-urls-0)
- [Chexmarx-seo](https://zero.checkmarx.com/the-github-black-market-gaming-the-star-ranking-game-fc42f5913fb7)
- [Checkmarx-oss-seo](https://checkmarx.com/blog/new-technique-to-trick-developers-detected-in-an-open-source-supply-chain-attack/)
- [Atomic Red Team - T1608.006](https://github.com/redcanaryco/atomic-red-team/tree/master/atomics/T1608.006)
- [MITRE ATT&CK - T1608.006](https://attack.mitre.org/techniques/T1608/006)
03

Trust audit

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryWARN
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (5)

MEDIUMInventory / provenance · inv.symlink · CWE-1104
packages/app/public/apple-touch-icon-v3.png
packages/app/public/apple-touch-icon-v3.png
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
packages/app/public/apple-touch-icon.png
packages/app/public/apple-touch-icon.png
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
packages/app/public/favicon-96x96-v3.png
packages/app/public/favicon-96x96-v3.png
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
packages/app/public/favicon-96x96.png
packages/app/public/favicon-96x96.png
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
packages/app/public/favicon-v3.ico
packages/app/public/favicon-v3.ico
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-10-18 · audit v0.4.1 · source sha eaf7d03223fcfull audit observations/trust-audit/skill/cyberstrikeus__t1608.006_seo-poisoning.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-18eaf7d03223fcCAUTIONB89first audit
05

Questions

What does the T1608.006 Seo Poisoning skill do?

Open-source AI-powered offensive security harness for automated penetration testing.

Is T1608.006 Seo Poisoning 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 T1608.006 Seo Poisoning 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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