CVE-2025-32052: Buffer Over-read
A flaw was found in libsoup. A vulnerability in the sniff_unknown() function may lead to heap buffer over-read.
AI Analysis
Technical Summary
CVE-2025-32052 is a medium-severity vulnerability identified in libsoup, a GNOME HTTP client/server library widely used in Linux and Unix-like environments for handling HTTP communications. The flaw exists in the sniff_unknown() function, which is responsible for content sniffing or protocol detection. Specifically, this vulnerability leads to a heap buffer over-read condition. A buffer over-read occurs when a program reads more data than the allocated buffer size, potentially exposing sensitive information from adjacent memory or causing application crashes. In this case, the vulnerability does not require any privileges or user interaction to exploit, and the attacker can trigger it remotely over the network (AV:N/AC:L/PR:N/UI:N). The impact is limited to confidentiality (C:L) and availability (A:L), with no integrity impact (I:N). Although no known exploits are currently reported in the wild, the vulnerability could be leveraged by attackers to cause denial of service or information disclosure by reading unintended memory areas. The affected versions are not explicitly specified beyond "0," suggesting that the issue may affect certain or all versions of libsoup prior to a patch. Given libsoup's role in many GNOME-based applications and services, this vulnerability could affect a broad range of software relying on it for HTTP communication.
Potential Impact
For European organizations, the impact of CVE-2025-32052 depends on their reliance on libsoup within their software stacks. Many Linux distributions popular in Europe, such as Debian, Ubuntu, Fedora, and openSUSE, include libsoup as a core component for GNOME and other desktop/server applications. Enterprises using GNOME-based environments or custom applications built on libsoup could face risks of information leakage or service disruption. The confidentiality impact, while limited, could expose sensitive data residing in memory buffers, which might include session tokens or other HTTP-related data. The availability impact could result in application crashes or denial of service, potentially disrupting critical services. Sectors with high reliance on Linux-based infrastructure, including government agencies, financial institutions, and technology firms, may be particularly vulnerable. However, the lack of known exploits and the medium severity rating suggest that immediate widespread exploitation is unlikely but should not be discounted. Organizations with strict data protection requirements under GDPR must consider the confidentiality implications seriously.
Mitigation Recommendations
To mitigate CVE-2025-32052 effectively, European organizations should: 1) Identify all systems and applications using libsoup, especially those handling sensitive HTTP communications. 2) Monitor vendor advisories and security bulletins for patches or updates addressing this vulnerability and apply them promptly once available. 3) If patches are not yet released, consider temporary workarounds such as disabling or restricting the use of vulnerable libsoup-dependent applications or services, particularly those exposed to untrusted networks. 4) Employ runtime protections like memory safety tools (e.g., AddressSanitizer) during development and testing to detect buffer over-read conditions. 5) Implement network-level protections such as web application firewalls (WAFs) and intrusion detection systems (IDS) to monitor and block suspicious traffic targeting HTTP services. 6) Conduct regular security assessments and penetration testing focusing on HTTP client/server components to identify exploitation attempts. 7) Educate system administrators and developers about the risks of buffer over-read vulnerabilities and encourage secure coding and update practices.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Poland, Italy, Spain
CVE-2025-32052: Buffer Over-read
Description
A flaw was found in libsoup. A vulnerability in the sniff_unknown() function may lead to heap buffer over-read.
AI-Powered Analysis
Technical Analysis
CVE-2025-32052 is a medium-severity vulnerability identified in libsoup, a GNOME HTTP client/server library widely used in Linux and Unix-like environments for handling HTTP communications. The flaw exists in the sniff_unknown() function, which is responsible for content sniffing or protocol detection. Specifically, this vulnerability leads to a heap buffer over-read condition. A buffer over-read occurs when a program reads more data than the allocated buffer size, potentially exposing sensitive information from adjacent memory or causing application crashes. In this case, the vulnerability does not require any privileges or user interaction to exploit, and the attacker can trigger it remotely over the network (AV:N/AC:L/PR:N/UI:N). The impact is limited to confidentiality (C:L) and availability (A:L), with no integrity impact (I:N). Although no known exploits are currently reported in the wild, the vulnerability could be leveraged by attackers to cause denial of service or information disclosure by reading unintended memory areas. The affected versions are not explicitly specified beyond "0," suggesting that the issue may affect certain or all versions of libsoup prior to a patch. Given libsoup's role in many GNOME-based applications and services, this vulnerability could affect a broad range of software relying on it for HTTP communication.
Potential Impact
For European organizations, the impact of CVE-2025-32052 depends on their reliance on libsoup within their software stacks. Many Linux distributions popular in Europe, such as Debian, Ubuntu, Fedora, and openSUSE, include libsoup as a core component for GNOME and other desktop/server applications. Enterprises using GNOME-based environments or custom applications built on libsoup could face risks of information leakage or service disruption. The confidentiality impact, while limited, could expose sensitive data residing in memory buffers, which might include session tokens or other HTTP-related data. The availability impact could result in application crashes or denial of service, potentially disrupting critical services. Sectors with high reliance on Linux-based infrastructure, including government agencies, financial institutions, and technology firms, may be particularly vulnerable. However, the lack of known exploits and the medium severity rating suggest that immediate widespread exploitation is unlikely but should not be discounted. Organizations with strict data protection requirements under GDPR must consider the confidentiality implications seriously.
Mitigation Recommendations
To mitigate CVE-2025-32052 effectively, European organizations should: 1) Identify all systems and applications using libsoup, especially those handling sensitive HTTP communications. 2) Monitor vendor advisories and security bulletins for patches or updates addressing this vulnerability and apply them promptly once available. 3) If patches are not yet released, consider temporary workarounds such as disabling or restricting the use of vulnerable libsoup-dependent applications or services, particularly those exposed to untrusted networks. 4) Employ runtime protections like memory safety tools (e.g., AddressSanitizer) during development and testing to detect buffer over-read conditions. 5) Implement network-level protections such as web application firewalls (WAFs) and intrusion detection systems (IDS) to monitor and block suspicious traffic targeting HTTP services. 6) Conduct regular security assessments and penetration testing focusing on HTTP client/server components to identify exploitation attempts. 7) Educate system administrators and developers about the risks of buffer over-read vulnerabilities and encourage secure coding and update practices.
Affected Countries
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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: 682cd0fc1484d88663aecb95
Added to database: 5/20/2025, 6:59:08 PM
Last enriched: 7/30/2025, 12:43:41 AM
Last updated: 8/18/2025, 1:22:23 AM
Views: 10
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MediumActions
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