FKIE_CVE-2025-5197
Vulnerability from fkie_nvd - Published: 2025-08-06 12:15 - Updated: 2026-06-17 09:47| URL | Tags | ||
|---|---|---|---|
| security@huntr.dev | https://github.com/huggingface/transformers/commit/944b56000be5e9b61af8301aa340838770ad8a0b | Patch | |
| security@huntr.dev | https://huntr.com/bounties/3f8b3fd0-166b-46e7-b60f-60dd9d2678bf | Exploit, Issue Tracking, Patch, Third Party Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://huntr.com/bounties/3f8b3fd0-166b-46e7-b60f-60dd9d2678bf | Exploit, Issue Tracking, Patch, Third Party Advisory |
| Vendor | Product | Version | |
|---|---|---|---|
| huggingface | transformers | * |
{
"affected": [
{
"affectedData": [
{
"product": "huggingface/transformers",
"vendor": "huggingface",
"versions": [
{
"lessThan": "4.53.0",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "security@huntr.dev"
}
],
"configurations": [
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"vulnerable": true
}
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern `/[^/]*___([^/]*)/` that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats."
},
{
"lang": "es",
"value": "Existe una vulnerabilidad de denegaci\u00f3n de servicio de expresiones regulares (ReDoS) en la librer\u00eda Hugging Face Transformers, espec\u00edficamente en la funci\u00f3n `convert_tf_weight_name_to_pt_weight_name()`. Esta funci\u00f3n, responsable de convertir los nombres de peso de TensorFlow al formato de PyTorch, utiliza un patr\u00f3n de expresiones regulares `/[^/]*___([^/]*)/` que puede explotarse para causar un consumo excesivo de CPU mediante cadenas de entrada manipuladas debido a un retroceso catastr\u00f3fico. La vulnerabilidad afecta a las versiones hasta la 4.51.3 y se corrigi\u00f3 en la versi\u00f3n 4.53.0. Este problema puede provocar interrupciones del servicio, agotamiento de recursos y posibles vulnerabilidades del servicio API, lo que afecta los procesos de conversi\u00f3n de modelos entre los formatos de TensorFlow y PyTorch."
}
],
"id": "CVE-2025-5197",
"lastModified": "2026-06-17T09:47:25.920",
"metrics": {
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security@huntr.dev",
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"ssvcV203": [
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{
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{
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],
"role": "CISA Coordinator",
"timestamp": "2025-08-06T13:02:53.771161Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-08-06T12:15:26.837",
"references": [
{
"source": "security@huntr.dev",
"tags": [
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"url": "https://github.com/huggingface/transformers/commit/944b56000be5e9b61af8301aa340838770ad8a0b"
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"sourceIdentifier": "security@huntr.dev",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-1333"
}
],
"source": "security@huntr.dev",
"type": "Secondary"
}
]
}
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
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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.