lmsys sglang 0.4.6 update_weights_from_tensor main serialized_named_tensors deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in lmsys sglang 0.4.6. Affected by this issue is the function main of the file /update_weights_from_tensor. This manipulation of the argument serialized_named_tensors causes deserialization.
This vulnerability appears as CVE-2025-10164. The attack may be initiated remotely. In addition, an exploit is available.
The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability has been found in lmsys sglang 0.4.6 and classified as critical. Affected by this vulnerability is the function main of the file /update_weights_from_tensor. The manipulation of the argument serialized_named_tensors with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability.
This vulnerability is known as CVE-2025-10164. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known.
It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-27461). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 6.9
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.3
CNA Vector: 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
09/09/2025 Advisory disclosed09/09/2025 VulDB entry created
09/11/2025 VulDB entry last update
Sources
Status: Not definedCVE: CVE-2025-10164 (🔒)
GCVE (CVE): GCVE-0-2025-10164
GCVE (VulDB): GCVE-100-323203
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 09/09/2025 15:28Updated: 09/11/2025 04:15
Changes: 09/09/2025 15:28 (55), 09/11/2025 00:37 (1), 09/11/2025 04:15 (30)
Complete: 🔍
Submitter: hl4x7eq28
Cache ID: 216::103
Submit
Accepted
- Submit #635919: lmsys sglang >=0.4.6 Deserialization (by hl4x7eq28)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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