PatchSiren cyber security CVE debrief
CVE-2026-105135 InternLM CVE debrief
CVE-2026-105135 is a critical vulnerability in InternLM MindSearch 0.1.0, affecting the Planner Agent component. The issue allows for remote code injection via the ExecutionAction.run function in mindsearch/agent/graph.py. The CVE record was published on 2026-10-04T07:16:33.693Z and has not been modified since then. The NVD entry is currently Received.
- Vendor
- InternLM
- Product
- MindSearch
- CVSS
- CRITICAL 9.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-10-04
- Original CVE updated
- 2026-10-04
- Advisory published
- 2026-10-04
- Advisory updated
- 2026-10-04
Who should care
Defenders responsible for InternLM MindSearch deployments should assess exposure and verify the Planner Agent component for potential code injection vulnerabilities. This includes reviewing system configurations, ensuring proper security controls are in place, and monitoring for suspicious activity. Additionally, security teams and vulnerability management teams should prioritize verifying exposure and assessing potential vulnerabilities in the Planner 0.1
Why it matters
CVE-2026-105135 is a critical vulnerability in InternLM MindSearch 0.1.0 that allows for remote code injection. Defenders should prioritize verifying exposure and assessing the Planner Agent component for potential vulnerabilities.
- Verify exposure of InternLM MindSearch 0.1.0 deployments to code injection
- Assess Planner Agent component for potential vulnerabilities
- Review and update affected systems to prevent exploitation
Technical summary
The vulnerability affects InternLM MindSearch 0.1.0 and allows for remote code injection via the ExecutionAction.run function in mindsearch/agent/graph.py of the Planner Agent component. This issue enables attackers to execute arbitrary code, potentially leading to system compromise. Defenders should prioritize verifying exposure of InternLM MindSearch 0.1.0 deployments and assessing the Planner Agent component for potential code injection vulnerabilities. The CVE record was published on 2026-10-04T07:16:33.693Z and has not been modified since then. The NVD entry is currently Received.
Defensive priority
Defenders should prioritize verifying exposure of InternLM MindSearch 0.1.0 deployments and assessing the Planner Agent component for potential code injection vulnerabilities.
Recommended defensive actions
- Verify exposure of InternLM MindSearch 0.1.0 deployments
- Assess Planner Agent component for potential code injection vulnerabilities
- Review and update affected systems
- Apply vendor patches or updates for InternLM MindSearch 0.1.0
- Monitor for suspicious activity related to code injection
- Perform asset inventory to identify affected systems
- Review change windows for applying patches or mitigations
Evidence notes
The CVE record and NVD detail page provide information on the vulnerability, but the vendor did not respond to early disclosure. Additional details are available from source references, including Vuldb and GitHub.
Sources and references
Verified primary and authoritative sources
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CVE-2026-105135 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-105135
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-105135 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-105135
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://gist.github.com/DReazer/7ad46df9da73d0cf414276e4195b2183
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Source reference
Unverified legacy reference
URL: https://vuldb.com/cve/CVE-2026-105135
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Source reference
Unverified legacy reference
URL: https://vuldb.com/submit/943315
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Source reference
Unverified legacy reference
URL: https://vuldb.com/vuln/413352
-
Source reference
Unverified legacy reference
URL: https://vuldb.com/vuln/413352/cti
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.