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VulnerabilityPublished Updated

CVE-2025-55149: ulab-uiuc tiny-scientist · Path Traversal

Affects ulab-uiuc tiny-scientistSource CVE Database V5

0

Not known to be exploited · CVSS 6.7 Medium.

Data as of 26 Oct 2026, 12:55 UTC

CVSS 4.0 base score
6.7Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 50% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:H/VA:N/SC:N/SI:N/SA:N/E:U

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 9 Aug 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
ulab-uiuc tiny-scientistAffected
  • <=0.1.1
Fixed in–

AI-suggested

  1. Immediately restrict network access to the tiny-scientist backend service, limiting it to trusted internal networks or VPNs to reduce exposure to external attackers.
  2. Implement strict input validation and sanitization on file path parameters in the review_paper function to prevent path traversal sequences (e.g., '..', absolute paths).
  3. Use application-level sandboxing or chroot jails to constrain the backend process to a limited directory tree, preventing access to files outside the intended scope.
  4. Employ web application firewalls (WAFs) with custom rules to detect and block path traversal attack patterns targeting the review_paper endpoint.
  5. Monitor server logs for suspicious file access patterns or anomalous requests attempting to access unexpected PDF files.
  6. If feasible, temporarily disable or restrict the review_paper functionality until a patch is available.
  7. Maintain strict file permissions on the server to minimize the backend process’s access to sensitive files.
  8. Engage with the vendor or open-source community to track patch releases and apply updates promptly once available.

Description

Tiny-Scientist is a lightweight framework for automating the entire lifecycle of scientific research—from ideation to implementation, writing, and review. In versions 0.1.1 and below, a critical path traversal vulnerability has been identified in the review_paper function in backend/app.py. The vulnerability allows malicious users to access arbitrary PDF files on the server by providing crafted file paths that bypass the intended security restrictions. This vulnerability allows attackers to: read any PDF file accessible to the server process, potentially access sensitive documents outside the intended directory and perform reconnaissance on the server's file system structure. This issue does not currently have a fix.

References

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