Pillow up to 6.2.1 FpxImagePlugin.py range resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Pillow up to 6.2.1 and classified as problematic. Affected by this vulnerability is the function range of the file FpxImagePlugin.py. This manipulation causes resource consumption.
This vulnerability is handled as CVE-2019-19911. The attack can be initiated remotely. There is not any exploit available.
The affected component should be upgraded.
Details
A vulnerability was found in Pillow up to 6.2.1. It has been declared as problematic. Affected by this vulnerability is the function range of the file FpxImagePlugin.py. The manipulation with an unknown input leads to a resource consumption vulnerability. The CWE definition for the vulnerability is CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. As an impact it is known to affect availability. The summary by CVE is:
There is a DoS vulnerability in Pillow before 6.2.2 caused by FpxImagePlugin.py calling the range function on an unvalidated 32-bit integer if the number of bands is large. On Windows running 32-bit Python, this results in an OverflowError or MemoryError due to the 2 GB limit. However, on Linux running 64-bit Python this results in the process being terminated by the OOM killer.
The weakness was released 01/05/2020 (Website). It is possible to read the advisory at pillow.readthedocs.io. This vulnerability is known as CVE-2019-19911 since 12/19/2019. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Upgrading to version 6.2.2 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Pillow 6.2.2
Timeline
12/19/2019 🔍01/05/2020 🔍
01/06/2020 🔍
03/19/2024 🔍
Sources
Advisory: USN-4272-1Status: Not defined
CVE: CVE-2019-19911 (🔍)
GCVE (CVE): GCVE-0-2019-19911
GCVE (VulDB): GCVE-100-148291
Entry
Created: 01/06/2020 08:09Updated: 03/19/2024 14:14
Changes: 01/06/2020 08:09 (39), 01/06/2020 08:14 (17), 03/19/2024 14:14 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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