CVE-2024-10907: CWE-835 Loop with Unreachable Exit Condition in lm-sys lm-sys/fastchat
In lm-sys/fastchat Release v0.2.36, the server fails to handle excessive characters appended to the end of multipart boundaries. This flaw can be exploited by sending malformed multipart requests with arbitrary characters at the end of the boundary. Each extra character is processed in an infinite loop, leading to excessive resource consumption and a complete denial of service (DoS) for all users. The vulnerability is unauthenticated, meaning no user login or interaction is required for an attacker to exploit this issue.
AI Analysis
Technical Summary
CVE-2024-10907 affects the lm-sys/fastchat server, specifically in how it processes multipart HTTP requests. The vulnerability arises from improper handling of multipart boundaries when arbitrary characters are appended to the end of these boundaries. Instead of rejecting or safely processing such malformed input, the server enters an infinite loop for each extra character appended. This loop consumes excessive CPU and memory resources, leading to a denial of service condition that can render the server unresponsive to legitimate users. The vulnerability is classified under CWE-835 (Loop with Unreachable Exit Condition), indicating a logic flaw in loop termination conditions. Exploitation requires no authentication or user interaction, allowing remote attackers to trigger the infinite loop simply by sending crafted HTTP multipart requests. The CVSS v3.0 base score is 7.5 (high), reflecting the ease of exploitation and the severe impact on availability. The affected versions are unspecified but include at least v0.2.36. No patches or fixes have been linked yet, and no exploits are known in the wild as of the publication date. This vulnerability primarily threatens service availability by enabling denial of service attacks through resource exhaustion.
Potential Impact
For European organizations deploying lm-sys/fastchat, this vulnerability could lead to significant service outages due to denial of service attacks. Critical services relying on fastchat for communication or AI-driven interactions may become unavailable, impacting business continuity and user experience. The unauthenticated nature of the exploit means attackers can launch DoS attacks without needing credentials or insider access, increasing the attack surface. Organizations in sectors such as finance, healthcare, and government that depend on real-time chat or AI services could face operational disruptions and potential reputational damage. Additionally, resource exhaustion might indirectly affect other hosted services on the same infrastructure, amplifying the impact. Given the lack of known exploits, the threat is currently theoretical but could escalate rapidly once exploit code becomes available. European data centers hosting these services might experience increased load and potential cascading failures if targeted at scale.
Mitigation Recommendations
Immediate mitigation should focus on implementing input validation and rate limiting at the network or application layer to detect and block malformed multipart requests with excessive boundary characters. Deploying web application firewalls (WAFs) with custom rules to identify and drop suspicious multipart requests can reduce exposure. Organizations should monitor server resource usage closely to detect abnormal spikes indicative of exploitation attempts. If possible, isolate lm-sys/fastchat instances in dedicated environments to contain potential DoS impacts. Until an official patch is released, consider disabling or restricting multipart request handling if feasible. Engage with the vendor or open-source maintainers to obtain updates or patches addressing this issue. Regularly update intrusion detection systems (IDS) signatures to include detection for this vulnerability. Finally, develop incident response plans specifically for DoS scenarios targeting this vulnerability to minimize downtime.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland
CVE-2024-10907: CWE-835 Loop with Unreachable Exit Condition in lm-sys lm-sys/fastchat
Description
In lm-sys/fastchat Release v0.2.36, the server fails to handle excessive characters appended to the end of multipart boundaries. This flaw can be exploited by sending malformed multipart requests with arbitrary characters at the end of the boundary. Each extra character is processed in an infinite loop, leading to excessive resource consumption and a complete denial of service (DoS) for all users. The vulnerability is unauthenticated, meaning no user login or interaction is required for an attacker to exploit this issue.
AI-Powered Analysis
Technical Analysis
CVE-2024-10907 affects the lm-sys/fastchat server, specifically in how it processes multipart HTTP requests. The vulnerability arises from improper handling of multipart boundaries when arbitrary characters are appended to the end of these boundaries. Instead of rejecting or safely processing such malformed input, the server enters an infinite loop for each extra character appended. This loop consumes excessive CPU and memory resources, leading to a denial of service condition that can render the server unresponsive to legitimate users. The vulnerability is classified under CWE-835 (Loop with Unreachable Exit Condition), indicating a logic flaw in loop termination conditions. Exploitation requires no authentication or user interaction, allowing remote attackers to trigger the infinite loop simply by sending crafted HTTP multipart requests. The CVSS v3.0 base score is 7.5 (high), reflecting the ease of exploitation and the severe impact on availability. The affected versions are unspecified but include at least v0.2.36. No patches or fixes have been linked yet, and no exploits are known in the wild as of the publication date. This vulnerability primarily threatens service availability by enabling denial of service attacks through resource exhaustion.
Potential Impact
For European organizations deploying lm-sys/fastchat, this vulnerability could lead to significant service outages due to denial of service attacks. Critical services relying on fastchat for communication or AI-driven interactions may become unavailable, impacting business continuity and user experience. The unauthenticated nature of the exploit means attackers can launch DoS attacks without needing credentials or insider access, increasing the attack surface. Organizations in sectors such as finance, healthcare, and government that depend on real-time chat or AI services could face operational disruptions and potential reputational damage. Additionally, resource exhaustion might indirectly affect other hosted services on the same infrastructure, amplifying the impact. Given the lack of known exploits, the threat is currently theoretical but could escalate rapidly once exploit code becomes available. European data centers hosting these services might experience increased load and potential cascading failures if targeted at scale.
Mitigation Recommendations
Immediate mitigation should focus on implementing input validation and rate limiting at the network or application layer to detect and block malformed multipart requests with excessive boundary characters. Deploying web application firewalls (WAFs) with custom rules to identify and drop suspicious multipart requests can reduce exposure. Organizations should monitor server resource usage closely to detect abnormal spikes indicative of exploitation attempts. If possible, isolate lm-sys/fastchat instances in dedicated environments to contain potential DoS impacts. Until an official patch is released, consider disabling or restricting multipart request handling if feasible. Engage with the vendor or open-source maintainers to obtain updates or patches addressing this issue. Regularly update intrusion detection systems (IDS) signatures to include detection for this vulnerability. Finally, develop incident response plans specifically for DoS scenarios targeting this vulnerability to minimize downtime.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- @huntr_ai
- Date Reserved
- 2024-11-05T22:25:53.642Z
- Cvss Version
- 3.0
- State
- PUBLISHED
Threat ID: 68ef9b23178f764e1f470a63
Added to database: 10/15/2025, 1:01:23 PM
Last enriched: 10/15/2025, 1:19:10 PM
Last updated: 12/1/2025, 9:30:41 AM
Views: 25
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