CVE-2021-29609
Scores
EPSS
Percentile: 0.0%
CVSS
CVSS Score: 7.8/10
All CVSS Scores
Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Vector Breakdown
CVSS (Common Vulnerability Scoring System) vector provides detailed metrics about vulnerability characteristics
CVSS
Attack Vector
Local (L)
Describes how the vulnerability is exploited
Attack Complexity
Low (L)
Describes the conditions beyond the attacker's control
Privileges Required
Low (L)
Describes the level of privileges an attacker must possess
User Interaction
None (N)
Captures the requirement for a human user participation
Scope
Unchanged (U)
Determines if a successful attack impacts components beyond the vulnerable component
Confidentiality Impact
High (H)
Measures the impact to the confidentiality of information
Integrity Impact
High (H)
Measures the impact to integrity of a successfully exploited vulnerability
Availability Impact
High (H)
Measures the impact to the availability of the impacted component
Vector: AV:L/AC:L/Au:N/C:P/I:P/A:P
Vector Breakdown
CVSS (Common Vulnerability Scoring System) vector provides detailed metrics about vulnerability characteristics
CVSS
Attack Vector
Local (L)
Describes how the vulnerability is exploited
Attack Complexity
Low (L)
Describes the conditions beyond the attacker's control
Authentication
None (N)
Describes the level of privileges an attacker must possess
Confidentiality Impact
Partial
Measures the impact to the confidentiality of information
Integrity Impact
Partial
Measures the impact to integrity of a successfully exploited vulnerability
Availability Impact
Partial
Measures the impact to the availability of the impacted component
Description
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of *_indices matches the size of corresponding *_shape. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. 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.
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Sources
CWEs
Vulnerable Software (2)
Type: Configuration
Product: tensorflow
Operating System: debian
{ "unaffected": true}
Source: debian
Type: Configuration
Vendor: google
Product: tensorflow
Operating System: * * *
{ "cpe_match": [ { "cpe23uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "versionEndExcluding": "2.1.4", "vulnerable": true }, { "cpe23uri": "cpe:2.3:a:googl...
{ "cpe_match": [ { "cpe23uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "versionEndExcluding": "2.1.4", "vulnerable": true }, { "cpe23uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "versionEndExcluding": "2.2.3", "versionStartIncluding": "2.2.0", "vulnerable": true }, { "cpe23uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "versionEndExcluding": "2.3.3", "versionStartIncluding": "2.3.0", "vulnerable": true }, { "cpe23uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "versionEndExcluding": "2.4.2", "versionStartIncluding": "2.4.0", "vulnerable": true } ], "operator": "OR"}
Source: nvd