Security readout for executives and security teams
Plain-English summary
A malicious TensorFlow Lite model can crash affected TensorFlow processing when a specific optimization runs. The business impact is denial of service in systems or pipelines that accept or process untrusted TFLite models. The sources do not show active exploitation.
Executive priority
Prioritize remediation where TensorFlow processes external models or supports production ML services. Internal-only research environments are lower urgency but should still be upgraded through normal patch cycles.
Technical view
CVE-2021-37689 is a CWE-476 null pointer dereference in TensorFlow Lite MLIR optimization for L2NormalizeReduceAxis. A crafted TFLite model can trigger an unchecked dereference and crash the process. Fixed code is identified in commit d6b57f461b39fd1aa8c1b870f1b974aac3554955.
Likely exposure
Exposure is most likely in applications, CI/CD, model ingestion services, or ML tooling using affected TensorFlow versions and processing attacker-supplied or third-party TFLite models.
Exploitation context
The CVE is not listed as KEV, and the provided sources do not claim active exploitation. The attack requires a crafted TFLite model reaching the affected optimization path.
Researcher notes
Root cause is an unconditional dereference of a pointer to a vector iterator without verifying that elements exist. The sources identify the operator, affected version ranges, and fixing commit, but do not provide exploit code, public exploitation, or downstream product impact.
Mitigation direction
- Upgrade TensorFlow to 2.6.0 or a fixed supported branch release.
- Use TensorFlow 2.5.1, 2.4.3, or 2.3.4 where those branches are required.
- If building from source, ensure the referenced fixing commit is included.
- Restrict processing of untrusted TFLite models until affected environments are patched.
- Check TensorFlow vendor guidance for downstream package or platform-specific instructions.
Validation and detection
- Inventory TensorFlow versions in applications, containers, notebooks, and build pipelines.
- Check dependency manifests and SBOMs for affected version ranges.
- Identify workflows that ingest third-party or user-provided TFLite models.
- Confirm patched environments no longer use vulnerable TensorFlow builds.
- Review service monitoring for unexplained crashes in TFLite model processing paths.
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
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CWE-476: Exact CWE lookup
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Open ATT&CK lookupCVE-2021-37689 mapping review
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Open ATT&CK lookup- Severity
- High
- CVSS
- 7.8 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
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:L/PR:L/UI:N/S:U/C:H/I:H/A:H1.85.9Primary CVE scoreVulnerability scoring details
Base CVSS 3.1 score
7.8HighVector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wf5p-c75w-w3whCVE reference · x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/d6b57f461b39fd1aa8c1b870f1b974aac3554955CVE 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.
NULL Pointer Dereference
NULL Pointer Dereference represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.