FKIE_CVE-2025-62162
Vulnerability from fkie_nvd - Published: 2025-10-10 23:15 - Updated: 2026-10-19 16:10
Severity
Summary
cel-rust is a Common Expression Language interpreter written in Rust. Starting in version 0.10.0 and prior to version 0.11.4, parsing certain malformed CEL expressions can cause the parser to panic, terminating the process. When the crate is used to evaluate untrusted expressions (e.g., user-supplied input over an API), an attacker can send crafted input to trigger a denial of service (DoS). Version 0.11.4 fixes the issue.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "cel-rust",
"vendor": "cel-rust",
"versions": [
{
"status": "affected",
"version": "\u003e= 0.10.0, \u003c 0.11.4"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "cel-rust is a Common Expression Language interpreter written in Rust. Starting in version 0.10.0 and prior to version 0.11.4, parsing certain malformed CEL expressions can cause the parser to panic, terminating the process. When the crate is used to evaluate untrusted expressions (e.g., user-supplied input over an API), an attacker can send crafted input to trigger a denial of service (DoS). Version 0.11.4 fixes the issue."
},
{
"lang": "es",
"value": "cel-rust es un int\u00e9rprete de Common Expression Language escrito en Rust. A partir de la versi\u00f3n 0.10.0 y antes de la versi\u00f3n 0.11.4, el an\u00e1lisis de ciertas expresiones CEL malformadas puede causar que el analizador entre en p\u00e1nico, terminando el proceso. Cuando la crate se utiliza para evaluar expresiones no confiables (p. ej., entrada proporcionada por el usuario a trav\u00e9s de una API), un atacante puede enviar una entrada manipulada para desencadenar una denegaci\u00f3n de servicio (DoS). La versi\u00f3n 0.11.4 soluciona el problema."
}
],
"id": "CVE-2025-62162",
"lastModified": "2026-10-19T16:10:00.260",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"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"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-62162",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-10-14T13:43:26.615519Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-10-10T23:15:36.713",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/cel-rust/cel-rust/releases/tag/cel-v0.11.4"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/cel-rust/cel-rust/security/advisories/GHSA-wxwx-9fh7-5mrw"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/cel-rust/cel-rust/security/advisories/GHSA-wxwx-9fh7-5mrw"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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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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.