ncurses 6.0 alloc_entry.c nc_save_str memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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5.6$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in ncurses 6.0. This issue affects the function nc_save_str of the file alloc_entry.c. The manipulation leads to memory corruption. This vulnerability is listed as CVE-2017-13729. The attack may be initiated remotely. There is no available exploit. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in ncurses 6.0. This issue affects the function nc_save_str of the file alloc_entry.c. 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 availability. The summary by CVE is:

There is an illegal address access in the _nc_save_str function in alloc_entry.c in ncurses 6.0. It will lead to a remote denial of service attack.

The bug was discovered 08/29/2017. The weakness was presented 08/29/2017 (Website). It is possible to read the advisory at bugzilla.redhat.com. The identification of this vulnerability is CVE-2017-13729 since 08/29/2017. 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 103797 (FreeBSD : ncurses -- multiple issues (b84dbd94-e894-4c91-b8cd-d328537b1b2b)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family FreeBSD Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 170513 (SUSE Enterprise Linux Security Update for ncurses (SUSE-SU-2017:3183-1)).

Upgrading eliminates this vulnerability. A possible mitigation has been published 2 months after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (103797) and SecurityFocus (BID 99908†). See VDB-104367, VDB-105922, VDB-105924 and VDB-105925 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.8

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
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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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Nessus ID: 103797
Nessus Name: FreeBSD : ncurses -- multiple issues (b84dbd94-e894-4c91-b8cd-d328537b1b2b)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Timelineinfo

07/21/2017 🔍
08/29/2017 +39 days 🔍
08/29/2017 +0 days 🔍
08/29/2017 +0 days 🔍
08/29/2017 +0 days 🔍
08/30/2017 +1 days 🔍
10/11/2017 +42 days 🔍
10/12/2017 +1 days 🔍
01/10/2021 +1186 days 🔍

Sourcesinfo

Advisory: bugzilla.redhat.com
Researcher: IBM
Status: Confirmed

CVE: CVE-2017-13729 (🔍)
GCVE (CVE): GCVE-0-2017-13729
GCVE (VulDB): GCVE-100-105923
SecurityFocus: 99908 - IBM TRIRIGA Application Platform CVE-2017-1373 Unspecified Remote Privilege Escalation Vulnerability

See also: 🔍

Entryinfo

Created: 08/30/2017 08:53
Updated: 01/10/2021 10:25
Changes: 08/30/2017 08:53 (63), 11/11/2019 16:31 (11), 01/10/2021 10:25 (3)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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