CVE-2026-49136

HighPublic PoCUpdated

Published: 01 June 2026

Published

01 June 2026

Modified

17 June 2026

KEV Added

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Patch

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CVSS Score v4 8.7 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

EPSS Score 0.0042 33.5th percentile

Risk Priority 55 floored blend · peak EPSS

Summary

CVE-2026-49136 is a high-severity Path Traversal (CWE-22) vulnerability. Its CVSS base score is 8.7 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 33.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as Computer Vision; in the Privacy and Disclosure risk domain.

OWASP Top 10 for Web (2025)

EU & UK References

🇪🇺 ENISA EUVD: EUVD-2026-33753

Vulnerability details

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().

CWE(s): CWE-22

AI Security AnalysisAI

AI Category: Computer Vision
Risk Domain: Privacy and Disclosure
OWASP Top 10 for LLMs 2025: None mapped
Classification Reason: Matched keywords: ai

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access

Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.

attack.mitre.org →

T1005 Data from Local System Collection

Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.

attack.mitre.org →

Why these techniques?

Path traversal in public-facing AI backend directly enables unauthenticated file read (T1190 initial access + T1005 data collection).

Confidence: HIGH · MITRE ATT&CK Enterprise v19.0