HIGH
Google TensorFlow 1.6.x and earlier is affected by: Null Pointer Dereference
Published Apr 23, 2019
7.1
HIGHCVSS 4.0
EPSS 0.46%
Description
Google TensorFlow 1.6.x and earlier is affected by: Null Pointer Dereference. The type of exploitation is: context-dependent.
Affected products
No data.
- ≤ 1.6.0
No data.
No Red Hat product state for this CVE.
No package ranges for this CVE.
Remediation
No remediation recorded yet.
Metrics
7.1 HIGH GHSA
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required None
User Interaction Passive
Vulnerable System Confidentiality None
Vulnerable System Integrity None
Vulnerable System Availability High
Subsequent System Confidentiality None
Subsequent System Integrity None
Subsequent System Availability None
No CVSS v3.1 score for this CVE.
6.5 MEDIUM NVD
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Attack Vector Network
Attack Complexity Low
Privileges Required None
User Interaction Required
Scope Unchanged
Confidentiality Impact None
Integrity Impact None
Availability Impact High
4.3 MEDIUM NVD
AV:N/AC:M/Au:N/C:N/I:N/A:P
Access Vector Network
Access Complexity Medium
Authentication None
Confidentiality Impact None
Integrity Impact None
Availability Impact Partial
This CVE is not in the KEV list.
No CISA SSVC assessment for this CVE yet.
0.46% 0.00457
Estimated probability of exploitation in the wild in the next 30 days (FIRST EPSS). As of Oct 1, 2026.
EPSS probability 0.00457
Score over time
2021–2026- EPSS v1
- EPSS v5
- EPSS v2
- EPSS v3
Percentile over time
- EPSS v1
- EPSS v5
- EPSS v2
- EPSS v3
Table of values (9 key points)
Flat stretches are collapsed; showing up to 120 newest points.
| Date | Score | Percentile | Model |
|---|---|---|---|
| Oct 1, 2026 | 0.46% (0.00457) | 37.29th | v5 (v2026.06.15) |
| Sep 20, 2026 | 0.46% (0.00457) | 38.93th | v5 (v2026.06.15) |
| Jul 20, 2024 | 0.09% (0.00086) | 37.00th | v3 (v2023.03.01) |
| Jun 26, 2024 | 0.09% (0.00086) | 36.81th | v3 (v2023.03.01) |
| Mar 7, 2023 | 0.09% (0.00086) | 34.78th | v3 (v2023.03.01) |
| Mar 6, 2023 | 0.89% (0.00885) | 27.89th | v2 (v2022.01.01) |
| Feb 4, 2022 | 0.89% (0.00885) | 10.50th | v2 (v2022.01.01) |
| Feb 3, 2022 | 0.17% (0.00171) | 1.23th | v5 (v2026.06.15) |
| Apr 14, 2021 | 0.17% (0.00171) | 0.00th | v1 |
Weaknesses (1)
References (7)
- https://github.com/advisories/GHSA-jfq2-rj7f-9gvf Advisory
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-224.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-231.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-206.yaml
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-002.md x_refsource_CONFIRMPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/c48431588e7cf8aff61d4c299231e3e925144df8
- https://nvd.nist.gov/vuln/detail/CVE-2018-7576
Change history (0)
No recorded changes yet.
Sources
CVE.org / MITRE
Status PUBLISHED
Assigner mitre
Published Apr 23, 2019
Updated Aug 5, 2024
Reserved Feb 28, 2018
Link CVE-2018-7576
CISA Vulnrichment
GHSA-JFQ2-RJ7F-9GVF Updated n/a