Vulnerability · Published Jun 1, 2026 · Assigned by VulnCheck

CVE-2026-49136Banana Slides 0.4.0 Path Traversal via generate_image() in ai_service.py

High 7.5

In plain English

A high-severity path traversal in banana-slides from Anionex. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.4% (higher than 36% of all known vulnerabilities).

Severity (CVSS 3.1)7.5High

Exploit odds (30 days)0.4%top 63.7% of all CVEs

Exploited in the wildNo reportsCISA SSVC: poc

Attack toolingNoneno public tooling known

Official description

Banana Slides through 0.4.0, patched in commit e8bc490, contains a path traversal vulnerability in the generate_image() function within the AI service backend that allows unauthenticated attackers to read arbitrary image-format files outside the intended uploads directory by exploiting an incomplete path prefix check using os.path.startswith() without a trailing separator. Attackers can supply crafted markdown image references in user-controlled page descriptions that resolve to sibling directories whose names share the uploads folder prefix, bypassing the directory confinement check and causing the application to read files from unintended locations via PIL Image.open().

Affected products (as reported)

Vendor	Product	Versions
Anionex	banana-slides	0 – through 0.4.0

Weakness: CWE-22 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

References

https://github.com/Anionex/banana-slides/issues/429 issue-tracking
https://github.com/Anionex/banana-slides/pull/430 issue-tracking
https://github.com/Anionex/banana-slides/commit/e8bc490ec8b4b657e07dc3ab4e94fbedcaade421 patch
https://www.vulncheck.com/advisories/banana-slides-path-traversal-via-generate-image-in-ai-service-py third-party-advisory