LiveActive security incident?Get immediate response
CVE Record

CVE-2021-29564: Null pointer dereference in `EditDistance`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.EditDistance`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

LowCVSS 2.5Not KEV-listedUpdated
Glexia's TakeAutomated analysislow

Security readout for executives and security teams

Plain-English summary

CVE-2021-29564 is a low-severity TensorFlow crash issue. A user who can run TensorFlow code locally with crafted inputs may trigger a null pointer dereference in the EditDistance operation. The documented impact is limited availability loss, not data theft or code execution.

Executive priority

Handle through routine dependency maintenance unless TensorFlow runs on shared systems with untrusted local users. The business risk is service interruption, not confirmed compromise or data exposure.

Technical view

TensorFlow tf.raw_ops.EditDistance had incomplete input parameter validation, allowing a null pointer dereference. The CVSS vector is local, high complexity, low privileges required, no user interaction, unchanged scope, and low availability impact only. Affected ranges include versions before the fixed supported releases listed by TensorFlow.

Likely exposure

Exposure is most likely in environments running affected TensorFlow versions where local users or controlled workloads can supply inputs to EditDistance. This is not described as remotely exploitable or broadly internet-exposed in the provided sources.

Exploitation context

The source bundle does not show CISA KEV listing or active exploitation evidence. The advisory frames the issue as a local, high-complexity denial-of-service condition requiring TensorFlow execution access.

Researcher notes

The core issue is CWE-476 in edit_distance_op.cc input validation. The provided sources identify the vulnerable operation and fixed release plan, but do not provide evidence of exploitation in the wild or broader product impact.

Mitigation direction

  • Upgrade TensorFlow to 2.5.0 or a fixed backport release.
  • Use TensorFlow 2.4.2, 2.3.3, 2.2.3, or 2.1.4 where applicable.
  • Check current vendor guidance before relying on unsupported TensorFlow branches.
  • Restrict who can run arbitrary TensorFlow workloads on shared systems.

Validation and detection

  • Inventory deployed TensorFlow package versions across development, training, and inference environments.
  • Check for affected version ranges listed in the CVE source bundle.
  • Identify workloads that call tf.raw_ops.EditDistance or related EditDistance paths.
  • Confirm upgraded environments use fixed TensorFlow versions.
  • Review shared compute systems for untrusted local TensorFlow execution access.
Prepared
Confidence
high
Sources
4

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

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 · low confidence lookup

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 lookup
cve · low confidence lookup

CVE-2021-29564 mapping review

Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.

Open ATT&CK lookup
Vulnerability profileCVE Program record
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

Official CVE source material

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.

1CVSS vectors
0Timeline events
0ADP providers
3Source links

CVSS vector scores

1 official score

We 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.

ScoreVersionSeverityVectorExploitImpactSource
2.5CVSS 3.1LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L11.4Primary CVE score

Vulnerability scoring details

Base CVSS 3.1 score

2.5Low
CVSS 3.1 vector shape for CVE-2021-29564Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone
Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
tensorflowtensorflow< 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2Listed
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

CWE-476 · source CWE mapping

NULL Pointer Dereference

NULL Pointer Dereference represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.