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CVE-2026-11411 iAI Lab CVE debrief

A path traversal vulnerability has been discovered in iAI Lab PDF AI App 4.21.0 on Android. The vulnerability affects the chatpdf.pro component, specifically the getExternalCacheDir function. An attacker can manipulate the _display_name argument to traverse the file system. This attack requires a local approach. The CVSS score for this vulnerability is 1.9, indicating a low severity.

Vendor
iAI Lab
Product
PDF AI App
CVSS
LOW 1.9
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-06
Original CVE updated
2026-07-23
Advisory published
2026-06-06
Advisory updated
2026-07-23

Who should care

Users of iAI Lab PDF AI App 4.21.0 on Android should be aware of this vulnerability and take necessary precautions.

Technical summary

The vulnerability is caused by improper handling of the _display_name argument in the getExternalCacheDir function of the chatpdf.pro component. This allows an attacker to perform a path traversal attack, potentially leading to unauthorized access to sensitive files.

Defensive priority

Low

Recommended defensive actions

  • Update to a patched version of the app, if available.
  • Use caution when handling files and directories in the app.
  • Monitor the app's behavior for suspicious activity.

Evidence notes

The CVE record and NVD detail pages provide additional information about this vulnerability.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-11411 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-11411

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

  • CVE-2026-11411 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-11411

    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.