Security readout for executives and security teams
Plain-English summary
CVE-2021-29563 is a low-severity TensorFlow denial-of-service issue. A user who can run TensorFlow code locally may trigger a failed internal check in RFFT handling, terminating the process. The business risk is mainly interruption of ML workloads, not data theft or privilege escalation.
Executive priority
Treat as routine patching unless TensorFlow is used in shared execution environments with untrusted users. Prioritize affected ML platforms where a process crash could disrupt production pipelines, customer workloads, or scheduled model processing.
Technical view
The flaw is a CWE-617 reachable assertion in tf.raw_ops.RFFT. Eigen code operating on an empty matrix can hit an assertion and terminate the TensorFlow process. CVSS is 2.5: local access, high complexity, low privileges, no confidentiality or integrity impact, and low availability impact.
Likely exposure
Exposure is most likely in environments running affected TensorFlow versions where low-privileged local users or submitted jobs can execute TensorFlow operations. Shared notebooks, research systems, and ML batch workers are more relevant than externally exposed services, based on the local attack vector.
Exploitation context
The supplied sources do not show active exploitation, and the CVE is not marked KEV. Exploitation requires local access with low privileges and high complexity. The documented outcome is process termination, not remote compromise or data access.
Researcher notes
Evidence supports a localized availability issue caused by an assertion failure in RFFT handling. The bundle identifies fixed release targets and a TensorFlow commit, but does not provide broader exploit telemetry, compensating controls, or evidence of remote reachability.
Mitigation direction
- Upgrade TensorFlow to 2.5.0 or a fixed supported patch release.
- Use 2.4.2, 2.3.3, 2.2.3, or 2.1.4 where those branches apply.
- Check TensorFlow’s advisory for vendor-specific upgrade guidance.
- Restrict untrusted users from running TensorFlow jobs on shared hosts until patched.
Validation and detection
- Inventory TensorFlow versions across notebooks, services, containers, and batch workers.
- Compare installed versions against the affected ranges in the CVE record.
- Confirm upgraded environments report fixed TensorFlow versions.
- Review whether workloads expose tf.raw_ops.RFFT through user-controlled jobs or plugins.
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-2021-29563 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-ph87-fvjr-v33wCVE reference · x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/31bd5026304677faa8a0b77602c6154171b9aec1CVE 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.
