Vulnerability Monitor

The vendors, products, and vulnerabilities you care about

CVE-2019-16778


In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.


Published

2019-12-16T21:15:11.403

Last Modified

2024-11-21T04:31:10.367

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 2.6 (LOW)

CVSSv2 Vector

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

  • Access Vector: NETWORK
  • Access Complexity: LOW
  • Authentication: NONE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: PARTIAL
  • Availability Impact: PARTIAL
Exploitability Score

10.0

Impact Score

6.4

Weaknesses
  • Type: Secondary
    CWE-122
  • Type: Primary
    CWE-681

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 1.15.0 Yes

References