FKIE_CVE-2026-86793
Vulnerability from fkie_nvd - Published: 2026-09-11 12:16 - Updated: 2026-09-11 14:46
Severity
Summary
SGLang allows unauthenticated pickle deserialization through /update_weights_from_tensor when no auth keys are configured, and the SafeUnpickler policy can be bypassed because builtins.import and builtins.getattr are resolvable, enabling code execution via pickle REDUCE.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "SGLang",
"vendor": "SGLang",
"versions": [
{
"lessThanOrEqual": "0.5.18",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "cret@cert.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "SGLang allows unauthenticated pickle deserialization through /update_weights_from_tensor when no auth keys are configured, and the SafeUnpickler policy can be bypassed because builtins.import and builtins.getattr are resolvable, enabling code execution via pickle REDUCE."
}
],
"id": "CVE-2026-86793",
"lastModified": "2026-09-11T14:46:12.730",
"metrics": {},
"published": "2026-09-11T12:16:52.427",
"references": [
{
"source": "cret@cert.org",
"url": "https://github.com/sgl-project/sglang/tree/main"
},
{
"source": "cret@cert.org",
"url": "https://vicone.com/blog/cve-2026-86793-sglang-bypass-could-let-attackers-run-code-on-ai-servers/"
}
],
"sourceIdentifier": "cret@cert.org",
"vulnStatus": "Deferred"
}
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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.
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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