PYSEC-2026-4028
Vulnerability from pysec - Published: 2026-10-01 16:38 - Updated: 2026-10-01 17:10
VLAI
Details
Chainlit before 2.10.1 contains a session hijacking vulnerability that allows unauthenticated attackers to restore and inherit authenticated user sessions by presenting a valid sessionId during WebSocket session restoration without ownership verification. Attackers can exploit the restore_existing_session path to assume a victim's permissions and roles, enabling unauthorized invocation of tools and access to data restricted to the authenticated victim.
Severity
7.4 (High)
Impacted products
| Name | purl | chainlit | pkg:pypi/chainlit |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "chainlit",
"purl": "pkg:pypi/chainlit"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.10.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.1.0",
"0.1.1",
"0.1.101",
"0.1.102",
"0.1.103",
"0.2.0",
"0.2.1",
"0.2.101",
"0.2.102",
"0.2.103",
"0.2.104",
"0.2.105",
"0.2.106",
"0.2.107",
"0.2.108",
"0.2.109",
"0.2.110",
"0.2.111",
"0.3.0",
"0.4.0",
"0.4.1",
"0.4.101",
"0.4.2",
"0.4.3",
"0.5.0",
"0.5.1",
"0.5.2",
"0.6.0",
"0.6.1",
"0.6.2",
"0.6.3",
"0.6.4",
"0.6.401",
"0.6.402",
"0.7.0",
"0.7.1",
"0.7.2",
"0.7.3",
"0.7.301",
"0.7.400",
"0.7.500",
"0.7.501",
"0.7.600rc0",
"0.7.600rc1",
"0.7.601rc0",
"0.7.602",
"0.7.602rc0",
"0.7.603",
"0.7.604",
"0.7.604rc0",
"0.7.604rc1",
"0.7.604rc2",
"0.7.700",
"1.0.0",
"1.0.0rc0",
"1.0.0rc1",
"1.0.0rc2",
"1.0.0rc3",
"1.0.100",
"1.0.101",
"1.0.200",
"1.0.300",
"1.0.301",
"1.0.400",
"1.0.401",
"1.0.500",
"1.0.501",
"1.0.502",
"1.0.503",
"1.0.504",
"1.0.505",
"1.0.506",
"1.1.0",
"1.1.0rc0",
"1.1.0rc1",
"1.1.101",
"1.1.200",
"1.1.201",
"1.1.202",
"1.1.300",
"1.1.300rc0",
"1.1.300rc1",
"1.1.300rc2",
"1.1.300rc3",
"1.1.300rc4",
"1.1.300rc5",
"1.1.301",
"1.1.302",
"1.1.303",
"1.1.304",
"1.1.305",
"1.1.306",
"1.1.400",
"1.1.400rc0",
"1.1.400rc1",
"1.1.401",
"1.1.402",
"1.1.403rc0",
"1.1.404",
"1.2.0",
"1.2.0rc0",
"1.3.0",
"1.3.0rc0",
"1.3.0rc1",
"1.3.1",
"1.3.2",
"2.0.0",
"2.0.1",
"2.0.2",
"2.0.3",
"2.0.4",
"2.0.5",
"2.0.6",
"2.0.601",
"2.0.602",
"2.0.603",
"2.0.dev0",
"2.0.dev1",
"2.0.dev2",
"2.0rc0",
"2.0rc1",
"2.1.0",
"2.1.1",
"2.1.2",
"2.10.0",
"2.2.0",
"2.2.1",
"2.3.0",
"2.4.0",
"2.4.0rc0",
"2.4.1",
"2.4.2",
"2.4.201",
"2.4.3",
"2.4.301",
"2.4.302",
"2.4.400",
"2.5.5",
"2.6.0",
"2.6.1",
"2.6.2",
"2.6.3",
"2.6.4",
"2.6.5",
"2.6.6",
"2.6.7",
"2.6.8",
"2.6.9",
"2.7.0",
"2.7.1",
"2.7.1.1",
"2.7.2",
"2.8.0",
"2.8.1",
"2.8.2",
"2.8.3",
"2.8.4",
"2.8.5",
"2.9.0",
"2.9.1",
"2.9.2",
"2.9.3",
"2.9.4",
"2.9.5",
"2.9.6"
]
}
],
"aliases": [
"CVE-2026-56104",
"GHSA-c39v-8hrw-h448"
],
"details": "Chainlit before 2.10.1 contains a session hijacking vulnerability that allows unauthenticated attackers to restore and inherit authenticated user sessions by presenting a valid sessionId during WebSocket session restoration without ownership verification. Attackers can exploit the restore_existing_session path to assume a victim\u0027s permissions and roles, enabling unauthorized invocation of tools and access to data restricted to the authenticated victim.",
"id": "PYSEC-2026-4028",
"modified": "2026-10-01T17:10:18.842884Z",
"published": "2026-10-01T16:38:28.448202Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-56104"
},
{
"type": "WEB",
"url": "https://github.com/Chainlit/chainlit/pull/2857"
},
{
"type": "WEB",
"url": "https://github.com/Chainlit/chainlit/commit/5effb664f1e0af4a4f0a42fe63ea979676039a7f"
},
{
"type": "PACKAGE",
"url": "https://github.com/Chainlit/chainlit"
},
{
"type": "WEB",
"url": "https://github.com/Chainlit/chainlit/releases/tag/2.10.1"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/chainlit-session-hijacking-via-websocket-session-restoration"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/chainlit"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-c39v-8hrw-h448"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Chainlit contains a session hijacking vulnerability"
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…