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cveGitHub_MCVE-2020-15195
HistorySep 25, 2020 - 7:15 p.m.

CVE-2020-15195

2020-09-2519:15:14
CWE-119
CWE-787
CWE-122
GitHub_M
web.nvd.nist.gov
134
2
cve-2020-15195
buffer overflow
tensorflow
security vulnerability
nvd
information security

CVSS2

6.5

Attack Vector

NETWORK

Attack Complexity

LOW

Authentication

SINGLE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:N/AC:L/Au:S/C:P/I:P/A:P

CVSS3

8.8

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

AI Score

8.5

Confidence

High

EPSS

0.005

Percentile

75.3%

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Affected configurations

Nvd
Vulners
Node
googletensorflowRange<1.15.4-
OR
googletensorflowRange2.0.02.0.3-
OR
googletensorflowRange2.1.02.1.2-
OR
googletensorflowRange2.2.02.2.1-
OR
googletensorflowRange2.3.02.3.1-
Node
opensuseleapMatch15.2
VendorProductVersionCPE
googletensorflow*cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*
opensuseleap15.2cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": "< 1.15.4"
      },
      {
        "status": "affected",
        "version": ">= 2.0.0, < 2.0.3"
      },
      {
        "status": "affected",
        "version": ">= 2.1.0, < 2.1.2"
      },
      {
        "status": "affected",
        "version": ">= 2.2.0, < 2.2.1"
      },
      {
        "status": "affected",
        "version": ">= 2.3.0, < 2.3.1"
      }
    ]
  }
]

Social References

More

CVSS2

6.5

Attack Vector

NETWORK

Attack Complexity

LOW

Authentication

SINGLE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:N/AC:L/Au:S/C:P/I:P/A:P

CVSS3

8.8

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

AI Score

8.5

Confidence

High

EPSS

0.005

Percentile

75.3%