Security readout for executives and security teams
Plain-English summary
CVE-2021-29581 is a low-severity TensorFlow denial-of-service issue. A malformed empty tensor passed to a specific CTC beam search decoder operation can crash the process. Business impact is mainly service disruption in systems that expose this TensorFlow operation to untrusted inputs.
Executive priority
Treat as routine remediation unless the affected operation is exposed in shared or user-facing ML services. Prioritize normal dependency upgrade cycles and verify production TensorFlow versions.
Technical view
TensorFlow failed to validate empty input tensors in tf.raw_ops.CTCBeamSearchDecoder. The kernel could read from a null buffer and segfault. The advisory lists affected 2.1.x, 2.2.x, 2.3.x, and 2.4.x release ranges, with fixes planned in 2.5.0 and supported patch branches.
Likely exposure
Exposure is most likely in ML services, notebooks, or pipelines running affected TensorFlow versions and allowing low-privileged local users or user-controlled model inputs to reach CTCBeamSearchDecoder.
Exploitation context
The provided CVSS vector is local, high complexity, low privilege, no user interaction, and low availability impact only. The source bundle does not indicate known active exploitation, and KEV is false.
Researcher notes
This is a memory-safety availability flaw from missing input validation, mapped to CWE-908. Evidence supports denial of service through segmentation fault, not data disclosure, privilege escalation, or remote code execution.
Mitigation direction
- Upgrade TensorFlow to 2.5.0 or a patched supported branch release.
- Use 2.4.2, 2.3.3, 2.2.3, or 2.1.4 where branch pinning is required.
- Review TensorFlow vendor guidance before relying on compensating controls.
- Reject empty tensors before invoking the affected decoder operation if upgrade is delayed.
Validation and detection
- Inventory TensorFlow package versions across production, CI, notebooks, and container images.
- Search application code for use of tf.raw_ops.CTCBeamSearchDecoder.
- Confirm deployed versions are outside the affected ranges listed in the advisory.
- Review service crash logs for decoder-related segmentation faults.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-908: Exact CWE lookup
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Open ATT&CK lookupCVE-2021-29581 mapping review
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Open ATT&CK lookup- Severity
- Low
- CVSS
- 2.5 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
CVSS vector scores
1 official scoreWe collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L11.4Primary CVE scoreVulnerability scoring details
Base CVSS 3.1 score
2.5LowVector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vq2r-5xvm-3hc3CVE reference · x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/b1b323042264740c398140da32e93fb9c2c9f33eCVE reference · x_refsource_MISC
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Use of Uninitialized Resource
Use of Uninitialized Resource represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.