Dashboard / CVE-2025-46153

CVE-2025-46153

MEDIUM
MEDIUM Priority: 0.02 BB Relevance: 71/100
Published: 2025-09-25 Modified: 2026-11-05 First seen: 2026-11-05 Status: active

Attack Surface

Network Low Complexity No Auth No Interaction

CVSS Vector Breakdown

AV: Network
AC: Low
PR: None
UI: None
S: Unchanged
C: Low
I: None
A: None

Description

PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.

Weakness Classification (1)

Affected Software (1)

VendorProductVersion
linuxfoundation pytorch 2.6.0 – 2.7.0

References & Advisories (5)

Bug Bounty Relevance

71 / 100
✓ Network accessible
✓ No authentication
✓ Low complexity
✓ No user interaction

CVSS Score

5.3 / 10.0 v3.1
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

EPSS — Exploitation Probability

0.42%
Raw Score 0.004190
Percentile 36.5%
Date 2026-11-09

EPSS Trend

2026-11-09
0.00419
2026-11-08
0.00419
2026-11-07
0.00419
2026-11-06
0.00419
2026-11-05
0.00419

Intelligence Sources

nvd ref →

External Links