CVE-2026-2950 The advisory has been revoked - it doesn't affect any version of package tensorflow-cpu-jupyter (opens in a new tab)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-WOLFILATEST-TENSORFLOWCPUJUPYTER-17984929
- published16 Jul 2026
- disclosed31 Mar 2026
Introduced: 31 Mar 2026
CVE-2026-2950 (opens in a new tab)Amendment
The Wolfi security team deemed this advisory irrelevant for Wolfi:latest.
NVD Description
Note: Versions mentioned in the description apply only to the upstream tensorflow-cpu-jupyter package and not the tensorflow-cpu-jupyter package as distributed by Wolfi.
The _.unset and _.omit functions in Lodash are vulnerable to prototype pollution. The fix for CVE-2025-13465 only guards against string key members, so an attacker can bypass the check by passing array-wrapped path segments. This allows deletion of properties from built-in prototypes such as Object.prototype, Number.prototype, and String.prototype. The issue permits deletion of prototype properties but does not allow overwriting their original behavior. The issue is patched from 4.18.0 to 4.18.1 depending on the package: lodash, lodash-es, and lodash-amd in 4.18.1, and the standalone lodash.unset and lodash.omit packages in 4.18.0.