Google TensorFlow up to 1.12.1 GIF File null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google TensorFlow up to 1.12.1. It has been rated as problematic. This affects an unknown function of the component GIF File Handler. Performing a manipulation results in null pointer dereference. This vulnerability was named CVE-2019-9635. The attack may be initiated remotely. There is no available exploit. Upgrading the affected component is advised.
Details
A vulnerability was found in Google TensorFlow up to 1.12.1 (Artificial Intelligence Software). It has been classified as problematic. This affects an unknown function of the component GIF File Handler. The manipulation with an unknown input leads to a null pointer dereference vulnerability. CWE is classifying the issue as CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. This is going to have an impact on availability. The summary by CVE is:
NULL pointer dereference in Google TensorFlow before 1.12.2 could cause a denial of service via an invalid GIF file.
The bug was discovered 04/18/2019. The weakness was presented 04/24/2019. This vulnerability is uniquely identified as CVE-2019-9635 since 03/08/2019. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
The vulnerability was handled as a non-public zero-day exploit for at least 6 days. During that time the estimated underground price was around $5k-$25k.
Upgrading to version 1.12.2 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.google.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Null pointer dereferenceCWE: CWE-476 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: TensorFlow 1.12.2
Timeline
03/08/2019 🔍04/18/2019 🔍
04/24/2019 🔍
04/25/2019 🔍
09/06/2023 🔍
Sources
Vendor: google.comAdvisory: github.com
Status: Not defined
CVE: CVE-2019-9635 (🔍)
GCVE (CVE): GCVE-0-2019-9635
GCVE (VulDB): GCVE-100-134043
Entry
Created: 04/25/2019 09:05Updated: 09/06/2023 23:05
Changes: 04/25/2019 09:05 (55), 06/02/2020 09:22 (1), 09/06/2023 23:05 (5)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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