Qt 5.x qtsingleapp Named Pipe memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.4$0-$5k0.00

Summaryinfo

A vulnerability has been found in Qt 5.x and classified as problematic. Affected is an unknown function of the component qtsingleapp. This manipulation as part of Named Pipe causes memory corruption. This vulnerability is registered as CVE-2017-15011. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability classified as problematic was found in Qt 5.x. Affected by this vulnerability is an unknown part of the component qtsingleapp. The manipulation as part of a Named Pipe leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect availability. The summary by CVE is:

The named pipes in qtsingleapp in Qt 5.x, as used in qBittorrent and SugarSync, are configured for remote access and allow remote attackers to cause a denial of service (application crash) via an unspecified string.

The bug was discovered 10/03/2014. The weakness was published 10/04/2017 (Website). The advisory is shared at hackinparis.com. This vulnerability is known as CVE-2017-15011 since 10/03/2017. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Neither technical details nor an exploit are publicly available.

The vulnerability was handled as a non-public zero-day exploit for at least 1096 days. During that time the estimated underground price was around $0-$5k.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Affected

  • Qt 5.x
  • qBittorrent
  • SugarSync

Productinfo

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: 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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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

10/03/2014 🔍
10/03/2017 +1096 days 🔍
10/03/2017 +0 days 🔍
10/04/2017 +1 days 🔍
10/04/2017 +0 days 🔍
11/21/2019 +778 days 🔍

Sourcesinfo

Advisory: hackinparis.com
Status: Not defined

CVE: CVE-2017-15011 (🔍)
GCVE (CVE): GCVE-0-2017-15011
GCVE (VulDB): GCVE-100-107425

Entryinfo

Created: 10/04/2017 10:32
Updated: 11/21/2019 17:33
Changes: 10/04/2017 10:32 (57), 11/21/2019 17:33 (1)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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