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CVE-2025-32053: Buffer Over-read

Medium
VulnerabilityCVE-2025-32053cvecve-2025-32053
Published: Thu Apr 03 2025 (04/03/2025, 13:37:39 UTC)
Source: CVE

Description

A flaw was found in libsoup. A vulnerability in sniff_feed_or_html() and skip_insignificant_space() functions may lead to a heap buffer over-read.

AI-Powered Analysis

AILast updated: 07/30/2025, 00:43:55 UTC

Technical Analysis

CVE-2025-32053 is a medium-severity vulnerability identified in the libsoup library, specifically involving a heap buffer over-read flaw within the sniff_feed_or_html() and skip_insignificant_space() functions. Libsoup is a GNOME HTTP client/server library widely used for handling HTTP communications in various Linux-based applications and services. The vulnerability arises when these functions improperly handle input data, leading to reading beyond the allocated buffer boundaries on the heap. This type of flaw can cause application crashes or potentially leak sensitive memory contents, impacting confidentiality and availability. The CVSS 3.1 base score of 6.5 reflects a network attack vector (AV:N) with low attack complexity (AC:L), no privileges required (PR:N), and no user interaction (UI:N). The impact is limited to confidentiality and availability, with no integrity impact. No known exploits are currently reported in the wild, and no patches or vendor advisories are linked yet. Given libsoup's role in HTTP communication, applications relying on it for parsing or processing HTTP feeds or HTML content may be vulnerable if they use affected versions. The vulnerability could be triggered remotely by sending crafted HTTP content to vulnerable applications, causing heap buffer over-read and potential information disclosure or denial of service.

Potential Impact

For European organizations, the impact of CVE-2025-32053 depends on the extent to which libsoup is integrated into their software stack. Many open-source and proprietary Linux-based applications, including web browsers, network services, and IoT devices, may use libsoup for HTTP handling. Exploitation could lead to service disruptions due to crashes or leakage of sensitive memory data, which might include confidential information processed by the application. This can affect sectors with high reliance on Linux-based infrastructure such as telecommunications, finance, government, and critical infrastructure. The confidentiality impact, while limited, could expose sensitive data, and availability impact could disrupt business operations. Since no authentication or user interaction is required, attackers can exploit this remotely, increasing risk. However, the absence of known exploits and patches suggests the threat is currently moderate but warrants prompt attention to prevent escalation.

Mitigation Recommendations

European organizations should proactively audit their software environments to identify usage of libsoup, particularly versions prior to the fix for CVE-2025-32053. Immediate mitigation steps include: 1) Monitoring vendor advisories and applying patches or updates as soon as they become available. 2) Employing network-level protections such as web application firewalls (WAFs) to detect and block suspicious HTTP payloads that might trigger the vulnerability. 3) Implementing strict input validation and sanitization in applications that consume HTTP feeds or HTML content via libsoup. 4) Utilizing runtime protections like AddressSanitizer or heap protection mechanisms to detect and prevent buffer over-read exploitation during development and testing. 5) Conducting penetration testing focused on HTTP input handling to identify potential exploitation paths. 6) Isolating vulnerable services in segmented network zones to limit exposure. These targeted measures go beyond generic advice by focusing on the specific nature of the libsoup vulnerability and its exploitation vector.

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Technical Details

Data Version
5.1
Assigner Short Name
redhat
Date Reserved
2025-04-03T01:42:14.135Z
Cisa Enriched
true
Cvss Version
3.1
State
PUBLISHED

Threat ID: 682cd0fc1484d88663aecb97

Added to database: 5/20/2025, 6:59:08 PM

Last enriched: 7/30/2025, 12:43:55 AM

Last updated: 8/18/2025, 1:22:23 AM

Views: 10

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