XorbitsAI Xinference up to 2.6.x Llama3 Tool Parser llama3_tool_parser.py extract_tool_calls Tools code injection

CVSS Meta Temp Score
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8.5$0-$5k0.34

Summaryinfo

A vulnerability categorized as critical has been discovered in XorbitsAI Xinference up to 2.6.x. Impacted is the function extract_tool_calls of the file xinference/model/llm/tool_parsers/llama3_tool_parser.py of the component Llama3 Tool Parser. Executing a manipulation of the argument Tools can lead to code injection. The identification of this vulnerability is CVE-2026-61539. The attack may be launched remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in XorbitsAI Xinference up to 2.6.x. It has been declared as critical. This vulnerability affects the function extract_tool_calls of the file xinference/model/llm/tool_parsers/llama3_tool_parser.py of the component Llama3 Tool Parser. The manipulation of the argument tools with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

Xinference is an inference API for running open-source, speech, and multimodal models. In 2.5.0 and earlier, Xinference passes attacker-influenced Llama3 tool-call output to eval() in xinference/model/llm/tool_parsers/llama3_tool_parser.py and xinference/model/llm/utils.py. Requests to /v1/chat/completions with a tools field flow through xinference/api/restful_api.py, xinference/model/llm/transformers/core.py, handle_chat_result_non_streaming(), and _post_process_completion() before extract_tool_calls() or _eval_llama3_chat_arguments() evaluates the model-generated Python expression. An unauthenticated remote attacker can influence that output through a crafted prompt and execute commands in the Xinference server process context. This issue is fixed in version 2.7.0.

The advisory is available at github.com. This vulnerability was named CVE-2026-61539 since 07/10/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Technical details are known, but there is no available exploit. This vulnerability is assigned to T1059 by the MITRE ATT&CK project.

Upgrading to version 2.7.0 eliminates this vulnerability.

If you want to get best quality of vulnerability data, you may have to visit VulDB.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.6
VulDB Meta Temp Score: 8.5

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 10.0
CNA Vector (GitHub_M): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Code injection
CWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: Xinference 2.7.0

Timelineinfo

07/10/2026 CVE reserved
08/21/2026 +42 days Advisory disclosed
08/21/2026 +0 days VulDB entry created
08/21/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-61539 (🔒)
GCVE (CVE): GCVE-0-2026-61539
GCVE (VulDB): GCVE-100-394234

Entryinfo

Created: 08/21/2026 23:18
Changes: 08/21/2026 23:18 (67)
Complete: 🔍
Cache ID: 216::103

If you want to get best quality of vulnerability data, you may have to visit VulDB.

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