libtorrent up to 1.1.0 parse_chunk_header input validation

CVSS Meta Temp Score
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CTI Interest Score
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7.3$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in libtorrent up to 1.1.0. This impacts the function parse_chunk_header. The manipulation leads to input validation. This vulnerability is traded as CVE-2016-5301. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in libtorrent up to 1.1.0 (Peer-to-Peer Software). It has been rated as critical. This issue affects the function parse_chunk_header. The manipulation with an unknown input leads to a input validation vulnerability. Using CWE to declare the problem leads to CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. Impacted is availability. The summary by CVE is:

The parse_chunk_header function in libtorrent before 1.1.1 allows remote attackers to cause a denial of service (crash) via a crafted (1) HTTP response or possibly a (2) UPnP broadcast.

The weakness was shared 06/30/2016 by Brandon Perry (Website). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2016-5301 since 06/04/2016. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability scanner Nessus provides a plugin with the ID 91722 (openSUSE Security Update : libtorrent-rasterbar (openSUSE-2016-751)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family SuSE Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 168924 (OpenSuSE Security Update for libtorrent-rasterbar (openSUSE-SU-2016:1635-1)).

Upgrading to version 1.1.1 eliminates this vulnerability. A possible mitigation has been published before and not just after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (91722) and SecurityFocus (BID 91498†). Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Type

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.5
VulDB Meta Temp Score: 7.3

VulDB Base Score: 7.5
VulDB Temp Score: 7.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Input validation
CWE: CWE-20
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: 91722
Nessus Name: openSUSE Security Update : libtorrent-rasterbar (openSUSE-2016-751)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: libtorrent 1.1.1
Patch: github.com

Timelineinfo

06/04/2016 🔍
06/04/2016 +0 days 🔍
06/20/2016 +16 days 🔍
06/21/2016 +1 days 🔍
06/30/2016 +9 days 🔍
06/30/2016 +0 days 🔍
07/04/2016 +4 days 🔍
09/27/2024 +3007 days 🔍

Sourcesinfo

Advisory: 780
Researcher: Brandon Perry
Status: Not defined
Confirmation: 🔍

CVE: CVE-2016-5301 (🔍)
GCVE (CVE): GCVE-0-2016-5301
GCVE (VulDB): GCVE-100-88559
SecurityFocus: 91498 - Libtorrent CVE-2016-5301 Denial of Service Vulnerability

Entryinfo

Created: 07/04/2016 10:08
Updated: 09/27/2024 05:36
Changes: 07/04/2016 10:08 (56), 02/15/2019 13:03 (15), 08/26/2022 11:28 (5), 09/27/2024 05:36 (16)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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