CVE-2025-32907: Excessive Platform Resource Consumption within a Loop
A flaw was found in libsoup. The implementation of HTTP range requests is vulnerable to a resource consumption attack. This flaw allows a malicious client to request the same range many times in a single HTTP request, causing the server to use large amounts of memory. This does not allow for a full denial of service.
AI Analysis
Technical Summary
CVE-2025-32907 identifies a vulnerability in libsoup, a GNOME HTTP client/server library widely used in Linux and open-source environments. The flaw lies in the implementation of HTTP range requests, which allow clients to request specific byte ranges of a resource. In this case, a malicious client can craft a single HTTP request containing multiple repeated requests for the same byte range. This causes the server to enter a loop that consumes excessive platform resources, particularly memory, as it attempts to fulfill redundant range requests. The excessive memory usage can degrade server performance and potentially lead to partial denial of service conditions, though it does not cause a complete outage. The vulnerability is exploitable remotely without authentication or user interaction, increasing its risk profile. The CVSS v3.1 base score is 5.3 (medium severity), reflecting the network attack vector, low complexity, no privileges required, and no user interaction needed. The impact is limited to availability degradation, with no impact on confidentiality or integrity. No patches or known exploits are currently reported, but the vulnerability is publicly disclosed and should be addressed promptly. The issue is relevant for any organization using libsoup in HTTP server roles, especially in Linux-based systems and applications relying on this library for HTTP communications.
Potential Impact
The primary impact of CVE-2025-32907 is on the availability of servers using libsoup for HTTP services. By exploiting the vulnerability, an attacker can cause excessive memory consumption, potentially degrading server responsiveness and leading to partial denial of service conditions. This can disrupt services, increase operational costs due to resource exhaustion, and potentially affect dependent applications or services. Since the vulnerability does not affect confidentiality or integrity, data breaches or unauthorized data modification are not direct concerns. However, degraded service availability can impact business operations, user experience, and trust. Organizations with high-availability requirements or those running critical services on libsoup-based servers are at greater risk. The lack of authentication or user interaction requirements means the attack can be automated and launched remotely, increasing the threat surface. Although no known exploits are reported, the public disclosure means attackers could develop exploits, emphasizing the need for proactive mitigation.
Mitigation Recommendations
To mitigate CVE-2025-32907, organizations should first monitor for official patches or updates from libsoup maintainers and apply them promptly once available. In the interim, administrators can implement rate limiting and request validation at the HTTP server or reverse proxy level to detect and block suspicious range request patterns, especially repeated identical ranges within a single request. Employing Web Application Firewalls (WAFs) with custom rules to identify and mitigate abnormal range request behavior can reduce exploitation risk. Additionally, monitoring server resource usage and setting thresholds or alerts for unusual memory consumption can help detect ongoing attacks early. Where feasible, isolating libsoup-based services in containerized or sandboxed environments can limit the impact of resource exhaustion. Network-level protections such as IP reputation filtering and anomaly detection may also help prevent or limit attack traffic. Finally, organizations should review their use of libsoup and consider alternative libraries or updated versions that address this vulnerability.
Affected Countries
United States, Germany, France, United Kingdom, Canada, Japan, South Korea, India, Australia, Brazil
CVE-2025-32907: Excessive Platform Resource Consumption within a Loop
Description
A flaw was found in libsoup. The implementation of HTTP range requests is vulnerable to a resource consumption attack. This flaw allows a malicious client to request the same range many times in a single HTTP request, causing the server to use large amounts of memory. This does not allow for a full denial of service.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-32907 identifies a vulnerability in libsoup, a GNOME HTTP client/server library widely used in Linux and open-source environments. The flaw lies in the implementation of HTTP range requests, which allow clients to request specific byte ranges of a resource. In this case, a malicious client can craft a single HTTP request containing multiple repeated requests for the same byte range. This causes the server to enter a loop that consumes excessive platform resources, particularly memory, as it attempts to fulfill redundant range requests. The excessive memory usage can degrade server performance and potentially lead to partial denial of service conditions, though it does not cause a complete outage. The vulnerability is exploitable remotely without authentication or user interaction, increasing its risk profile. The CVSS v3.1 base score is 5.3 (medium severity), reflecting the network attack vector, low complexity, no privileges required, and no user interaction needed. The impact is limited to availability degradation, with no impact on confidentiality or integrity. No patches or known exploits are currently reported, but the vulnerability is publicly disclosed and should be addressed promptly. The issue is relevant for any organization using libsoup in HTTP server roles, especially in Linux-based systems and applications relying on this library for HTTP communications.
Potential Impact
The primary impact of CVE-2025-32907 is on the availability of servers using libsoup for HTTP services. By exploiting the vulnerability, an attacker can cause excessive memory consumption, potentially degrading server responsiveness and leading to partial denial of service conditions. This can disrupt services, increase operational costs due to resource exhaustion, and potentially affect dependent applications or services. Since the vulnerability does not affect confidentiality or integrity, data breaches or unauthorized data modification are not direct concerns. However, degraded service availability can impact business operations, user experience, and trust. Organizations with high-availability requirements or those running critical services on libsoup-based servers are at greater risk. The lack of authentication or user interaction requirements means the attack can be automated and launched remotely, increasing the threat surface. Although no known exploits are reported, the public disclosure means attackers could develop exploits, emphasizing the need for proactive mitigation.
Mitigation Recommendations
To mitigate CVE-2025-32907, organizations should first monitor for official patches or updates from libsoup maintainers and apply them promptly once available. In the interim, administrators can implement rate limiting and request validation at the HTTP server or reverse proxy level to detect and block suspicious range request patterns, especially repeated identical ranges within a single request. Employing Web Application Firewalls (WAFs) with custom rules to identify and mitigate abnormal range request behavior can reduce exploitation risk. Additionally, monitoring server resource usage and setting thresholds or alerts for unusual memory consumption can help detect ongoing attacks early. Where feasible, isolating libsoup-based services in containerized or sandboxed environments can limit the impact of resource exhaustion. Network-level protections such as IP reputation filtering and anomaly detection may also help prevent or limit attack traffic. Finally, organizations should review their use of libsoup and consider alternative libraries or updated versions that address this vulnerability.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- redhat
- Date Reserved
- 2025-04-14T01:37:48.152Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682cd0fc1484d88663aecb99
Added to database: 5/20/2025, 6:59:08 PM
Last enriched: 2/27/2026, 1:16:05 PM
Last updated: 3/25/2026, 4:20:01 AM
Views: 59
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.