CVE-2026-113357 (GCVE-0-2026-113357)
Vulnerability from cvelistv5 – Published: 2026-10-20 10:41 – Updated: 2026-10-20 13:42
VLAI
EPSS
VEX
Title
@e2e-dev/github before 0.4.1 CI Report Hijacking via Predictable Comment Marker
Summary
@e2e-dev/github before 0.4.1 contains an improper authorization vulnerability that allows pull request commenters to hijack CI test reports by posting comments with the predictable marker. Because findComment and upsertComment in post.ts never check the comment author, attackers can receive results in their own comment and edit failures to passes, or suppress genuine reports entirely.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-20 13:42 UTC
CWE
- CWE-863 - Incorrect Authorization
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/tester-army/e2e/pull/1161 | patchissue-tracking |
| https://github.com/tester-army/e2e/commit/ce4dac3… | patch |
| https://github.com/tester-army/e2e/releases/tag/%… | release-notes |
| https://github.com/tester-army/e2e/blob/37e946907… | technical-description |
| https://www.vulncheck.com/advisories/e2e-dev-gith… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| tester-army | @e2e-dev/github |
Affected:
0 , < 0.4.1
(semver)
|
guessed |
Date Public
2026-10-15 09:58
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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