CVE-2026-12570: keras-team/keras · Unthrottled Resource Allocation
Affects keras-team/kerasSource CVE Database V5
Mentioned vulnerabilities
Not known to be exploited · CVSS 5.5 Medium.
Data as of 7 Nov 2026, 23:24 UTC
- EPSS
- 0.1% chance of exploitation in 30 days – higher than 8% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:HExploitation evidence
Disclosed: evidence found.
CVE published 10 Aug 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 7 Nov 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| keras-teamkeras-team/keras | Affected
| Fixed in– |
PyPIkeraspkg:pypi/kerasOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
Until a fix is available, avoid loading untrusted or unverified .keras model files to mitigate risk.
Description
Keras versions up to 3.15.0 contain a vulnerability that allows denial of service (DoS) via loading malicious .keras model files. The issue arises from unvalidated dataset shapes and sizes during model loading, causing unbounded memory allocation and potential out-of-memory crashes. This vulnerability bypasses a previous fix and affects machine learning pipelines processing untrusted models.