Security readout for executives and security teams
Plain-English summary
This is a low-severity TensorFlow crash bug. Certain MatrixDiag-related operations failed to check for empty tensor inputs, which could trigger a null pointer condition and disrupt availability. The sources do not indicate data theft, privilege escalation, or remote unauthenticated exploitation.
Executive priority
Handle through normal dependency patching. Escalate only where vulnerable TensorFlow runs in shared or multi-tenant ML systems, because the credible business impact is disruption of workloads rather than compromise of sensitive data.
Technical view
CVE-2021-29515 is a CWE-476 null pointer issue in TensorFlow MatrixDiag* operation handling. Vulnerable versions can bind a reference to a null pointer when tensor arguments are empty. CVSS 3.1 is 2.5, with local attack vector, high complexity, low privileges, and low availability impact.
Likely exposure
Exposure is most likely in ML training, notebook, or serving environments running affected TensorFlow versions, especially where low-privileged users can submit workloads or influence tensor inputs. Public internet exposure is not supported by the provided sources.
Exploitation context
The source bundle does not report active exploitation, and KEV status is false. The CVSS vector indicates local access, high attack complexity, and low privileges are required. The supported impact is availability loss only.
Researcher notes
The key evidence is the TensorFlow advisory and fixing commit. The bundle names affected TensorFlow ranges and the planned fixed releases. It does not provide evidence of exploitation in the wild or broader product impact beyond TensorFlow.
Mitigation direction
- Upgrade TensorFlow to 2.5.0 or later where feasible.
- For supported older branches, apply TensorFlow 2.4.2, 2.3.3, 2.2.3, or 2.1.4.
- Prioritize shared ML platforms where untrusted users can run TensorFlow workloads.
- Check vendor advisory for branch-specific guidance before making exceptions.
Validation and detection
- Inventory TensorFlow versions in applications, notebooks, containers, and CI images.
- Compare installed versions against the affected version ranges in the advisory.
- Review whether workloads use MatrixDiag-related TensorFlow operations.
- Confirm shared ML environments isolate low-privileged users and jobs.
- Verify upgraded environments run expected unit and model-serving tests.
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-476: 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-2021-29515 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
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-hc6c-75p4-hmq4CVE reference · x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/a7116dd3913c4a4afd2a3a938573aa7c785fdfc6CVE 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.