A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue. The security policy of the project warns to use unknown models which might establish malicious effects.
CVE-2025-3730
This low-severity CVE scores 3.3 under NVD CVSS v3. EPSS exploit probability: 0.3%, top 77% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- Lower severity and no public exploit yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 3.3
- EG Score
- 3.3(medium)
- EG Risk
- 31(Track)EG Risk 31/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity33% × 45%Exploitation40% × 40%Automatability0% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 23.1%
- KEV
- Not listed
Published
April 16, 2025
Last Modified
May 28, 2025
References (8)
- cna@vuldbhttps://github.com/pytorch/pytorch/issues/150835
- cna@vuldbhttps://github.com/pytorch/pytorch/issues/150835#issue-2979082232
- cna@vuldbhttps://github.com/pytorch/pytorch/pull/150981
- cna@vuldbhttps://github.com/timocafe/tewart-pytorch/commit/46fc5d8e360127361211cb237d5f9eef0223e567
- cna@vuldbhttps://vuldb.com/?ctiid.305076
- cna@vuldbhttps://vuldb.com/?id.305076
- cna@vuldbhttps://vuldb.com/?submit.553645
- 134c704f-9b21-4f2e-91b3-4a467353bcc0https://github.com/pytorch/pytorch/issues/150835
Affected Packages
(1 across 1 ecosystem)
PyPI(1)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| torch | 1.0.0 ... 2.7.1 (41 versions) | 2.8.0 | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
All Vendor Advisories
(1)
Every vendor that published an advisory referencing this CVE — pulled from our cve_vendor_advisories aggregation. Click any row for the vendor's original advisory page.
Data Freshness Timeline
(refreshed 12× in last 7d / 49× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
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Related CVEs(same vendor + same CWE)
Same vendor
10 shownmsrc
- CVE-2006-10003EG 9.8CRITICAL
- CVE-2015-20107NVD 7.6EG 9.8EPSS 94%HIGH
- CVE-2013-7381EG 9.8CRITICAL
- CVE-2014-0048EG 9.8EPSS 93%CRITICAL
- CVE-2007-4559EG 9.8EPSS 98%CRITICAL
- CVE-2013-3900NVD 5.5EG 9.0 KEVEPSS 99%MEDIUM
- CVE-2013-2094NVD 8.4EG 9.0 KEVEPSS 99%HIGH
- CVE-2014-9356EG 8.6EPSS 91%HIGH
- CVE-2014-5282EG 8.1HIGH
- CVE-2014-8141EG 7.8EPSS 94%HIGH
Same CWE
10 shownCWE-404
- CVE-2018-8639NVD 7.8EG 9.0 KEVEPSS 97%HIGH
- CVE-2018-8611NVD 7.8EG 9.0 KEVEPSS 90%HIGH
- CVE-2018-8453NVD 7.8EG 9.0 KEVEPSS 99%HIGH
- CVE-2018-8406NVD 7.8EG 9.0 KEVHIGH
- CVE-2018-8405NVD 7.8EG 9.0 KEVHIGH
- CVE-2018-8120NVD 7.0EG 9.0 KEVEPSS 99%HIGH
- CVE-2017-6627NVD 7.5EG 9.0 KEVEPSS 93%HIGH
- CVE-2018-8450EG 8.8EPSS 97%HIGH
- CVE-2019-1708EG 8.6HIGH
- CVE-2019-1706EG 8.6HIGH
Frequently asked(5)
What is CVE-2025-3730?
When was CVE-2025-3730 disclosed?
Is CVE-2025-3730 actively exploited?
What is the CVSS score of CVE-2025-3730?
How do I remediate CVE-2025-3730?
Dependency Blast Radius
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