CVE-2021-29552: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by cont
Summary
TensorFlow, an open-source machine learning platform, has a vulnerability where an attacker can crash the program by passing an empty tensor (a multi-dimensional array of numbers) as the `num_segments` argument to the `UnsortedSegmentJoin` operation. The code assumes this input will always be a valid scalar (a single number), so when it's empty, a safety check fails and terminates the process, causing a denial of service (making the system unavailable).
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. Additionally, the fix will be backported (applied to older versions still being supported) to TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.
Vulnerability Details
2.5(low)
EPSS: 0.0%
Classification
Taxonomy References
Affected Vendors
Related Issues
CVE-2022-29200: TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implem
CVE-2021-29541: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null p
Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-29552
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%