Security readout for executives and security teams
Plain-English summary
This issue can make TensorFlow Lite hang when processing a specially crafted model. The impact is denial of service, not data theft or code execution. Business urgency is highest where services accept or run models from users, partners, or automated pipelines using the affected TensorFlow 2.6.0 release range.
Executive priority
Treat as a moderate availability risk. Prioritize remediation for ML services that process external models or run in shared production workflows. For internal-only trusted model pipelines, handle through normal patch cycles after confirming version exposure.
Technical view
CVE-2021-37686 is a CWE-835 infinite loop in TensorFlow Lite strided slice ellipsis handling. A crafted model can cause loop control to skip progress, consuming execution indefinitely. Sources list affected versions as TensorFlow >=2.6.0rc0 and <2.6.0rc2, with a patch in commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695.
Likely exposure
Exposure is most likely in applications embedding TensorFlow Lite that load untrusted or externally supplied models. Systems only using trusted, internally controlled models have lower practical risk, but should still verify dependency versions against the affected range.
Exploitation context
The CVSS vector is local, low complexity, low privileges, no user interaction, and availability-only. The provided bundle does not show CISA KEV listing or any confirmed active exploitation. Exploitation requires the vulnerable TensorFlow Lite code path to process a crafted model.
Researcher notes
The source evidence is consistent on the bug class, affected component, and patch commit, but limited on real-world exploitation and downstream product exposure. Avoid broad product claims without local inventory confirming affected TensorFlow Lite usage.
Mitigation direction
- Upgrade TensorFlow beyond the affected 2.6.0 release-candidate range.
- Apply the vendor patch commit if maintaining a custom TensorFlow build.
- Restrict loading of untrusted TFLite models until upgraded.
- Check TensorFlow advisory updates for any additional vendor guidance.
Validation and detection
- Inventory TensorFlow and TensorFlow Lite versions in applications and images.
- Confirm no deployed component uses TensorFlow >=2.6.0rc0 and <2.6.0rc2.
- Identify services that accept third-party or user-supplied TFLite models.
- Verify SBOM and dependency scanners flag the affected version range.
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-835: Exact CWE lookup
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Open ATT&CK lookupCVE-2021-37686 mapping review
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Open ATT&CK lookup- Severity
- Medium
- CVSS
- 5.5 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/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:N/I:N/A:H1.83.6Primary CVE scoreVulnerability scoring details
Base CVSS 3.1 score
5.5MediumVector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mhhc-q96p-mfm9CVE reference · x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695CVE 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.
Loop with Unreachable Exit Condition ('Infinite Loop')
Loop with Unreachable Exit Condition ('Infinite Loop') represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.