CVE-2025-58158 (GCVE-0-2025-58158)
Vulnerability from cvelistv5 – Published: 2025-08-29 17:44 – Updated: 2025-08-29 18:08
VLAI
EPSS
VEX
Title
Harness Affected by Arbitrary File Write in Gitness LFS server
Summary
Harness Open Source is an end-to-end developer platform with Source Control Management, CI/CD Pipelines, Hosted Developer Environments, and Artifact Registries. Prior to version 3.3.0, Open Source Harness git LFS server (Gitness) exposes api to retrieve and upload files via git LFS. Implementation of upload git LFS file api is vulnerable to arbitrary file write. Due to improper sanitization for upload path, a malicious authenticated user who has access to Harness Gitness server api can use a crafted upload request to write arbitrary file to any location on file system, may even compromise the server. Users using git LFS are vulnerable. This issue has been patched in version 3.3.0.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-29 18:07 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/harness/harness/security/advis… | x_refsource_CONFIRM |
| https://github.com/harness/harness/commit/21c5ce4… | x_refsource_MISC |
Impacted products
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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.
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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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