Alpine: multiple cgit packages: security update to 0.11.2-r0 (deprecated)

critical Tenable Cloud Security Plugin ID 401000

Description

There are packages installed that are affected by multiple vulnerabilities referenced in the following CVEs:

- CRLF injection vulnerability in the ui-blob handler in CGit before 0.12 allows remote attackers to inject
arbitrary HTTP headers and conduct HTTP response splitting attacks or cross-site scripting (XSS) attacks
via CRLF sequences in the mimetype parameter, as demonstrated by a request to blob/cgit.c. (CVE-2016-1899)

- CRLF injection vulnerability in the cgit_print_http_headers function in ui-shared.c in CGit before 0.12
allows remote attackers with permission to write to a repository to inject arbitrary HTTP headers and
conduct HTTP response splitting attacks or cross-site scripting (XSS) attacks via newline characters in a
filename. (CVE-2016-1900)

- Integer overflow in the authenticate_post function in CGit before 0.12 allows remote attackers to have
unspecified impact via a large value in the Content-Length HTTP header, which triggers a buffer overflow.
(CVE-2016-1901)

Plugin Details

Severity: Critical

ID: 401000

Version: Revision 1.23

Type: Local

Family: Alpine Linux Local Security Checks

Published: 8/16/2023

Updated: 7/2/2026

Supported Sensors: Agentless Assessment, Tenable Cloud Security, Tenable Self-Hosted Container Security

Risk Information

VPR

Risk Factor: Medium

Score: 4.9

Percentile: 57.12

CVSS v2

Risk Factor: High

Base Score: 7.5

Temporal Score: 5.9

Vector: CVSS2#AV:N/AC:L/Au:N/C:P/I:P/A:P

CVSS Score Source: CVE-2016-1901

CVSS v3

Risk Factor: Critical

Base Score: 9.8

Temporal Score: 8.8

Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Temporal Vector: CVSS:3.0/E:P/RL:O/RC:C

Vulnerability Information

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 2/9/2016

Vulnerability Publication Date: 1/14/2016

Reference Information

CVE: CVE-2016-1899, CVE-2016-1900, CVE-2016-1901

BID: 80033

Detections

Analytics