Pillow up to 3.1.0 FLI File libImaging/FliDecode.c ImagingFliDecode memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Pillow up to 3.1.0. It has been classified as critical. Affected by this issue is the function ImagingFliDecode of the file libImaging/FliDecode.c of the component FLI File Handler. The manipulation leads to memory corruption.
This vulnerability is referenced as CVE-2016-0775. Remote exploitation of the attack is possible. No exploit is available.
Upgrading the affected component is recommended.
Details
A vulnerability, which was classified as critical, has been found in Pillow up to 3.1.0. This issue affects the function ImagingFliDecode of the file libImaging/FliDecode.c of the component FLI File Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Buffer overflow in the ImagingFliDecode function in libImaging/FliDecode.c in Pillow before 3.1.1 allows remote attackers to cause a denial of service (crash) via a crafted FLI file.
The weakness was published 04/13/2016 (Website). The advisory is shared at debian.org. The identification of this vulnerability is CVE-2016-0775 since 12/15/2015. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
The vulnerability scanner Nessus provides a plugin with the ID 88864 (Debian DLA-422-1 : python-imaging security update), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Debian Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 196577 (Ubuntu Security Notification for python-imaging Vulnerabilities (USN-3080-1)).
Upgrading to version 3.1.1 eliminates this vulnerability. A possible mitigation has been published even before and not after the disclosure of the vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (88864). Similar entries are available at VDB-82323 and VDB-82343. If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.3
VulDB Base Score: 6.5
VulDB Temp Score: 6.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
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NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
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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Nessus ID: 88864
Nessus Name: Debian DLA-422-1 : python-imaging security update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 867773
OpenVAS Name: Fedora Update for python-pillow FEDORA-2016-4 (FC-23)
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Pillow 3.1.1
Patch: github.com
Timeline
12/15/2015 🔍02/20/2016 🔍
02/21/2016 🔍
04/13/2016 🔍
04/13/2016 🔍
04/14/2016 🔍
07/24/2022 🔍
Sources
Advisory: 893a40850c2d5da41537958e40569c029a6e127bStatus: Not defined
Confirmation: 🔍
CVE: CVE-2016-0775 (🔍)
GCVE (CVE): GCVE-0-2016-0775
GCVE (VulDB): GCVE-100-82325
See also: 🔍
Entry
Created: 04/14/2016 09:58Updated: 07/24/2022 11:23
Changes: 04/14/2016 09:58 (50), 10/06/2018 11:15 (24), 07/24/2022 11:23 (4)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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