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PatchSiren cyber security CVE debrief

CVE-2026-120204 deepseek-ai CVE debrief

CVE-2026-120204 is a path traversal vulnerability in DeepInfer through 0.1.0's unauthenticated /profile endpoint, allowing remote attackers to create arbitrary directories via the output_dir parameter. This vulnerability can be exploited through cross-site GET requests from an operator's browser, potentially leading to disk or inode exhaustion and using error messages as a filesystem oracle.

Vendor
deepseek-ai
Product
DeepInfer
CVSS
MEDIUM 6.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-31
Original CVE updated
2026-10-31
Advisory published
2026-10-31
Advisory updated
2026-10-31

Who should care

Defenders responsible for systems using DeepInfer version 0.1.0 or earlier should assess their exposure and consider applying patches or mitigations to prevent potential exploitation.

Why it matters

CVE-2026-120204 is a path traversal vulnerability in DeepInfer that allows remote attackers to create arbitrary directories, potentially leading to disk or inode exhaustion and using error messages as a filesystem oracle. Defenders should verify the presence of this vulnerability in their systems, especially if they are using DeepInfer version 0.1.0 or earlier, and consider applying patches or mitigations to prevent potential exploitation.

  • Potential disk or inode exhaustion due to arbitrary directory creation
  • Possible use of error messages as a filesystem oracle
  • Verification of DeepInfer version and patching or mitigation priority
  • Monitoring for potential exploitation attempts and error messages

Technical summary

The CVE record describes a path traversal vulnerability in DeepInfer through 0.1.0's unauthenticated /profile endpoint. The vulnerability allows remote attackers to create arbitrary directories via the output_dir parameter, potentially leading to disk or inode exhaustion and using error messages as a filesystem oracle. Defenders should verify the presence of this vulnerability in their systems, especially if they are using DeepInfer version 0.1.0 or earlier, and consider applying patches or mitigations to prevent potential exploitation. Affected product deployments should be identified and prioritized for remediation, with compensating controls reviewed for exposed systems.

Defensive priority

Defenders should prioritize verifying the presence of this vulnerability in their systems, especially if they are using DeepInfer version 0.1.0 or earlier, and consider applying patches or mitigations to prevent potential exploitation.

Recommended defensive actions

  • Verify the presence of DeepInfer version 0.1.0 or earlier in your systems
  • Consider applying patches or mitigations to prevent potential exploitation
  • Monitor for potential disk or inode exhaustion and error messages that could be used as a filesystem oracle
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD entry provide information about the vulnerability, but details about exploitation, impact, and remediation are limited. Further verification is required to determine the actual risk and affected scope.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-120204 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-120204

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-120204 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-120204

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

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.