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The vulnerability of the bernoulli_p function in the decompose() function of the PyTorch machine learning framework allows attackers to compromise the confidentiality of the protected information.
🗓️ 20 Oct 2025 00:00:00Reported by FSTEC of Russia — Information Security Threat DatabaseType 
bdu_fstec🔗 bdu.fstec.ru👁 1 Views
| Reporter | Title | Published | Views | Family All 24 |
|---|---|---|---|---|
 | CVE-2025-46153 | 24 Sep 202505:17 | – | circl |
 | PyTorch 安全漏洞 | 25 Sep 202500:00 | – | cnnvd |
 | Unspecified Vulnerability in PyTorch (CNVD-2025-23286) | 28 Sep 202500:00 | – | cnvd |
 | CVE-2025-46153 | 25 Sep 202500:00 | – | cve |
 | CVE-2025-46153 | 25 Sep 202500:00 | – | cvelist |
 | CVE-2025-46153 | 25 Sep 202500:00 | – | debiancve |
 | EUVD-2025-31108 | 3 Oct 202520:07 | – | euvd |
 | 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. | 2 Oct 202501:04 | – | mscve |
 | CVE-2025-46153 | 25 Sep 202515:16 | – | nvd |
 | BIT-PYTORCH-2025-46153 | 5 Oct 202523:47 | – | osv |
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20 Oct 2025 00:00Current
5.8Medium risk
Vulners AI Score5.8
CVSS 25
CVSS 35.3
EPSS0.00391