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cvelistGitHub_MCVELIST:CVE-2021-41208
HistoryNov 05, 2021 - 9:50 p.m.

CVE-2021-41208 Incomplete validation in boosted trees code

2021-11-0521:50:16
CWE-824
CWE-476
GitHub_M
www.cve.org
3
tensorflow
machine learning
denial of service
validation
code
security vulnerability

CVSS3

8.8

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

CHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

AI Score

8.8

Confidence

High

EPSS

0

Percentile

12.6%

TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing nullptrs or via CHECK-failures) as well as abuse undefined behavior (binding references to nullptrs). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow’s boosted trees APIs in subsequent releases. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": ">= 2.6.0, < 2.6.1"
      },
      {
        "status": "affected",
        "version": ">= 2.5.0, < 2.5.2"
      },
      {
        "status": "affected",
        "version": "< 2.4.4"
      }
    ]
  }
]

CVSS3

8.8

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

CHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

AI Score

8.8

Confidence

High

EPSS

0

Percentile

12.6%

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