Security readout for executives and security teams
Plain-English summary
TensorFlow could dereference a null pointer when `tf.raw_ops.CompressElement` receives invalid input. For organizations using affected TensorFlow versions, the practical concern is disruption or incorrect processing in ML workloads that expose this operation to untrusted or malformed inputs.
Executive priority
Prioritize remediation for ML services or batch systems that process externally supplied data or jobs. The issue is high severity, but the provided evidence does not show active exploitation or remote network exposure.
Technical view
CVE-2021-37637 is a CWE-476 null pointer dereference in TensorFlow `CompressElement`. The vulnerable implementation accessed a buffer size before confirming the returned buffer was valid. TensorFlow patched the issue in commit `5dc7f6981fdaf74c8c5be41f393df705841fb7c5` and planned fixed releases in 2.6.0, 2.5.1, 2.4.3, and 2.3.4.
Likely exposure
Exposure is most likely where affected TensorFlow versions process user-controlled or malformed inputs that can reach `tf.raw_ops.CompressElement`. The CVSS vector is local, so this is not described as directly network-exploitable in the provided sources.
Exploitation context
The source bundle does not report active exploitation, and KEV status is false. The advisory describes a low-complexity local attack condition with no privileges or user interaction required, but does not provide evidence of exploitation in the wild.
Researcher notes
The vulnerability is source-level straightforward: validation occurred after a buffer-derived operation. Research should focus on reachable call paths in deployed workloads, version confirmation, and upgrade verification rather than assuming broader TensorFlow impact beyond the advisory.
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 branch pinning is required.
- Check TensorFlow’s advisory for any later vendor guidance.
- Restrict untrusted inputs from reaching raw TensorFlow operations until upgraded.
Validation and detection
- Inventory deployed TensorFlow versions in applications, notebooks, containers, and ML workers.
- Flag TensorFlow versions 2.5.0, 2.4.x before 2.4.3, and versions before 2.3.4.
- Review whether workloads call `tf.raw_ops.CompressElement` or related data compression paths.
- Confirm dependency locks and runtime images use fixed TensorFlow builds.
- Run regression tests for affected ML pipelines after upgrading.
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-2021-37637 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
- High
- CVSS
- 7.7 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/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:N/UI:N/S:U/C:N/I:H/A:H2.55.2Primary CVE scoreVulnerability scoring details
Base CVSS 3.1 score
7.7HighVector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c9qf-r67m-p7cgCVE reference · x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/5dc7f6981fdaf74c8c5be41f393df705841fb7c5CVE 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.