Security readout for executives and security teams
Plain-English summary
CVE-2021-29561 is a low-severity TensorFlow denial-of-service issue. A user who can pass an unexpected tensor into a specific raw operation can trigger an internal CHECK failure and stop the process. It does not indicate data theft or code execution.
Executive priority
Treat this as routine patching unless affected TensorFlow services process untrusted ML inputs or support multi-tenant workloads. Prioritize internet-facing or shared compute environments where process crashes could disrupt business operations.
Technical view
`tf.raw_ops.LoadAndRemapMatrix` assumed `ckpt_path` was always a valid scalar. Supplying a non-scalar tensor can trigger a rank CHECK failure in TensorFlow internals, terminating the process. Sources identify CWE-617 and patched TensorFlow releases 2.5.0, 2.4.2, 2.3.3, 2.2.3, and 2.1.4.
Likely exposure
Exposure is most likely in TensorFlow workloads running affected versions where untrusted users or jobs can influence tensors passed to raw TensorFlow operations. Typical risk is localized service or job interruption, not compromise of confidentiality or integrity.
Exploitation context
The source bundle does not show active exploitation, and KEV is false. CVSS indicates local access, high attack complexity, low privileges, no user interaction, and low availability impact. Evidence supports process termination only.
Researcher notes
The available evidence supports a denial-of-service condition from improper scalar assumptions in `LoadAndRemapMatrix`. The bundle names affected TensorFlow ranges and fixed releases. It does not support claims of remote exploitation, privilege escalation, data exposure, or weaponized use.
Mitigation direction
- Upgrade TensorFlow to 2.5.0 or a fixed supported branch release.
- For supported older branches, use 2.4.2, 2.3.3, 2.2.3, or 2.1.4.
- Review the TensorFlow advisory before deploying branch-specific fixes.
- Limit untrusted access to workflows that can invoke raw TensorFlow operations.
- Monitor TensorFlow services for crash loops or abnormal process termination.
Validation and detection
- Inventory TensorFlow versions across training, serving, and notebook environments.
- Check whether affected versions are present in dependency lockfiles or containers.
- Identify code paths using `tf.raw_ops.LoadAndRemapMatrix`.
- Confirm deployed builds include the referenced TensorFlow fix commit or patched release.
- Review service logs for CHECK failures or unexpected TensorFlow process exits.
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-617: Exact CWE lookup
Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupCVE-2021-29561 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-gvm4-h8j3-rjrqCVE reference · x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/77dd114513d7796e1e2b8aece214a380af26fbf4CVE 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.
Reachable Assertion
Reachable Assertion represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.
