CVE-2021-29554

Division by 0 in `DenseCountSparseOutput`

MEDIUM
5.5
CVSS Score
Published: May 14, 2021 at 07:10 PM UTC
Updated: June 17, 2026 at 03:47 AM UTC
2 products affected across 2 vendorsTensorflowTensorFlow

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Severity
MEDIUM5.5
Exploit prediction
EPSS 0.2%

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.

Affected

Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.

v < 2.1.42.2.0 ≤ v < 2.2.32.3.0 ≤ v < 2.3.32.4.0 ≤ v < 2.4.2
Affected range stops below 2.1.4, so it looks safe — our inference, not a vendor statement
Affected range stops below 2.2.3, so it looks safe — our inference, not a vendor statement
Affected range stops below 2.3.3, so it looks safe — our inference, not a vendor statement
Affected range stops below 2.4.2, so it looks safe — our inference, not a vendor statement
v < 2.3.3v < 2.4.2
Affected range stops below 2.3.3, so it looks safe — our inference, not a vendor statement
Affected range stops below 2.4.2, so it looks safe — our inference, not a vendor statement

Remediation

No guide yet

No remediation guidance has been written for this CVE yet. What the record does show:

CVSS

Attack Vector
LOCAL
Complexity
LOW
Privileges
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
HIGH
Vector?

Quick Info

StatusMODIFIED
CWE
CWE-369

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