GHSA-377J-WJ38-4728
Vulnerability from github – Published: 2025-09-04 14:06 – Updated: 2025-09-05 16:10
VLAI
Summary
Weblate has a long session expiry when verifying second factor
Details
Impact
The verification of the second factor had too long a session expiry. The long session expiry could be used to circumvent rate limiting of the second factor.
Patches
This issue has been addressed in Weblate 5.13.1 via https://github.com/WeblateOrg/weblate/pull/16002.
References
Thanks to Nahid Hasan Limon for reporting this issue responsibly.
Severity
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "Weblate"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "5.13.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2025-58352"
],
"database_specific": {
"cwe_ids": [
"CWE-613"
],
"github_reviewed": true,
"github_reviewed_at": "2025-09-04T14:06:15Z",
"nvd_published_at": "2025-09-05T00:15:32Z",
"severity": "LOW"
},
"details": "### Impact\nThe verification of the second factor had too long a session expiry. The long session expiry could be used to circumvent rate limiting of the second factor.\n\n\n### Patches\nThis issue has been addressed in Weblate 5.13.1 via https://github.com/WeblateOrg/weblate/pull/16002.\n\n### References\nThanks to Nahid Hasan Limon for reporting this issue responsibly.",
"id": "GHSA-377j-wj38-4728",
"modified": "2025-09-05T16:10:49Z",
"published": "2025-09-04T14:06:15Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/WeblateOrg/weblate/security/advisories/GHSA-377j-wj38-4728"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-58352"
},
{
"type": "WEB",
"url": "https://github.com/WeblateOrg/weblate/pull/16002"
},
{
"type": "WEB",
"url": "https://github.com/WeblateOrg/weblate/commit/0b46fe596231dd456283ead66699ae5516f23908"
},
{
"type": "PACKAGE",
"url": "https://github.com/WeblateOrg/weblate"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:H/AT:P/PR:L/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Weblate has a long session expiry when verifying second factor"
}
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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.
- 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.
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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.
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