GNU wget src/iri.c memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.4$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in GNU wget. Affected by this vulnerability is an unknown functionality of the file src/iri.c. Performing a manipulation results in memory corruption. This vulnerability is known as CVE-2019-5953. Remote exploitation of the attack is possible. No exploit is available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability classified as critical has been found in GNU wget (Automation Software) (affected version unknown). This affects an unknown functionality of the file src/iri.c. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Buffer overflow in GNU Wget 1.20.1 and earlier allows remote attackers to cause a denial-of-service (DoS) or may execute an arbitrary code via unspecified vectors.

The bug was discovered 04/03/2019. The weakness was published 04/05/2019 as [slackware-security] wget (SSA:2019-095-02) as confirmed mailinglist post (Bugtraq). It is possible to read the advisory at seclists.org. This vulnerability is uniquely identified as CVE-2019-5953 since 01/10/2019. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability was handled as a non-public zero-day exploit for at least 2 days. During that time the estimated underground price was around $0-$5k. The vulnerability scanner Nessus provides a plugin with the ID 236573 (Alibaba Cloud Linux 3 : 0063: wget (ALINUX3-SA-2022:0063)), which helps to determine the existence of the flaw in a target environment. The commercial vulnerability scanner Qualys is able to test this issue with plugin 197426 (Ubuntu Security Notification for Wget vulnerabilities(USN-3943-1)).

Upgrading eliminates this vulnerability.

The vulnerability is also documented in the databases at Tenable (236573) and SecurityFocus (BID 106358†). Similar entries are available at VDB-121339 and VDB-128431. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.4

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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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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Nessus ID: 236573
Nessus Name: Alibaba Cloud Linux 3 : 0063: wget (ALINUX3-SA-2022:0063)

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/26/2018 🔍
01/10/2019 +15 days 🔍
04/03/2019 +83 days 🔍
04/05/2019 +2 days 🔍
04/09/2019 +4 days 🔍
05/21/2025 +2234 days 🔍

Sourcesinfo

Vendor: gnu.org

Advisory: [slackware-security] wget (SSA:2019-095-02)
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2019-5953 (🔍)
GCVE (CVE): GCVE-0-2019-5953
GCVE (VulDB): GCVE-100-133155
SecurityFocus: 106358 - GNU wget CVE-2018-20483 Local Information Disclosure Vulnerability

See also: 🔍

Entryinfo

Created: 04/09/2019 09:55
Updated: 05/21/2025 19:30
Changes: 04/09/2019 09:55 (61), 05/27/2020 16:47 (6), 05/21/2025 19:30 (18)
Complete: 🔍
Cache ID: 216::103

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

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