GHSA-8JG2-726G-XH43
Vulnerability from github – Published: 2026-04-08 03:32 – Updated: 2026-04-08 21:50
VLAI
Summary
parisneo/lollms has an insufficient session expiration vulnerability
Details
An insufficient session expiration vulnerability exists in the latest version of parisneo/lollms. The application fails to invalidate active sessions after a password reset, allowing an attacker to continue using an old session token. This issue arises due to the absence of logic to reject requests after a period of inactivity and the excessively long default session duration of 31 days. The vulnerability enables an attacker to maintain persistent access to a compromised account, even after the victim resets their password.
Severity
4.1 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "lollms"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "11.0.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-1163"
],
"database_specific": {
"cwe_ids": [
"CWE-613"
],
"github_reviewed": true,
"github_reviewed_at": "2026-04-08T21:50:30Z",
"nvd_published_at": "2026-04-08T03:16:07Z",
"severity": "MODERATE"
},
"details": "An insufficient session expiration vulnerability exists in the latest version of parisneo/lollms. The application fails to invalidate active sessions after a password reset, allowing an attacker to continue using an old session token. This issue arises due to the absence of logic to reject requests after a period of inactivity and the excessively long default session duration of 31 days. The vulnerability enables an attacker to maintain persistent access to a compromised account, even after the victim resets their password.",
"id": "GHSA-8jg2-726g-xh43",
"modified": "2026-04-08T21:50:30Z",
"published": "2026-04-08T03:32:14Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-1163"
},
{
"type": "PACKAGE",
"url": "https://github.com/ParisNeo/lollms"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/abe2d1c4-c21c-4608-8a8e-274565246a8b"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:H/PR:H/UI:N/S:U/C:L/I:L/A:L",
"type": "CVSS_V3"
}
],
"summary": "parisneo/lollms has an insufficient session expiration vulnerability"
}
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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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