RHSA-2025:3344
Vulnerability from csaf_redhat - Published: 2025-03-27 15:46 - Updated: 2026-09-19 18:07An argument injection vulnerability was found in go-git. This flaw allows an attacker to set arbitrary values to git-upload-pack flags, leading to command or code execution, exposure of sensitive data, or other unintended behavior. This is only possible in configurations where the file transport protocol is being used.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-0:10.2.6-9.el9_5.aarch64 | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-0:10.2.6-9.el9_5.ppc64le | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-0:10.2.6-9.el9_5.s390x | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-0:10.2.6-9.el9_5.src | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-0:10.2.6-9.el9_5.x86_64 | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-debuginfo-0:10.2.6-9.el9_5.aarch64 | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-debuginfo-0:10.2.6-9.el9_5.ppc64le | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-debuginfo-0:10.2.6-9.el9_5.s390x | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-debuginfo-0:10.2.6-9.el9_5.x86_64 | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-debugsource-0:10.2.6-9.el9_5.aarch64 | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-debugsource-0:10.2.6-9.el9_5.ppc64le | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-debugsource-0:10.2.6-9.el9_5.s390x | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-debugsource-0:10.2.6-9.el9_5.x86_64 | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-selinux-0:10.2.6-9.el9_5.aarch64 | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-selinux-0:10.2.6-9.el9_5.ppc64le | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-selinux-0:10.2.6-9.el9_5.s390x | — |
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| Unresolved product id: AppStream-9.5.0.Z.MAIN:grafana-selinux-0:10.2.6-9.el9_5.x86_64 | — |
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A flaw was found in the golang-jwt implementation of JSON Web Tokens (JWT). In affected versions, a malicious request with specially crafted Authorization header data may trigger an excessive consumption of resources on the host system. This issue can cause significant performance degradation or an application crash, leading to a denial of service.
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}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
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}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "golang-jwt/jwt: jwt-go allows excessive memory allocation during header parsing"
}
]
}
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.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.