CVE-2026-69702 in SnailJob
Summary
by MITRE • 08/04/2026
SnailJob 1.7.0 contains a denial of service vulnerability in the FuryUtil.deserialize helper that allows authenticated attackers to crash the server by supplying a crafted Zstandard-compressed payload with an inflated frame_content_size field in the frame header. Attackers can store a base64-encoded Zstandard payload declaring an arbitrarily large decompressed size in a retry task argument, causing the JVM to attempt an unbounded array allocation and triggering an unrecoverable java.lang.OutOfMemoryError when the task is dispatched through the retry-task pipeline.
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Analysis
by VulDB Data Team • 08/05/2026
The SnailJob 1.7.0 denial of service vulnerability represents a critical security flaw in the FuryUtil.deserialize helper component that enables authenticated attackers to execute remote code execution through resource exhaustion. This vulnerability specifically targets the Zstandard compression library integration within the job processing framework, where maliciously crafted payloads can exploit improper input validation mechanisms. The flaw resides in how the system handles frame header metadata during decompression operations, particularly when processing the frame_content_size field that dictates the expected decompressed data size.
The technical exploitation mechanism leverages a carefully constructed Zstandard-compressed payload containing an inflated frame_content_size value that declares an arbitrarily large decompressed size. When this malicious payload is stored as a base64-encoded string within a retry task argument, it remains dormant until dispatched through the retry-task pipeline where the deserialization process triggers the vulnerable code path. The system's failure to validate or limit the decompressed size field causes the Java Virtual Machine to attempt allocation of an unbounded array based on the malicious size specification, leading to immediate memory exhaustion and subsequent JVM crash.
This vulnerability directly maps to CWE-400, which categorizes unchecked resource consumption as a fundamental weakness in software design that allows attackers to exhaust system resources through malformed input processing. The operational impact extends beyond simple service disruption as the OutOfMemoryError generated by this vulnerability can cause cascading failures throughout the job processing pipeline, potentially affecting multiple concurrent tasks and system stability. Attackers with authenticated access can repeatedly submit such payloads to create sustained denial of service conditions that may require manual intervention to resolve.
The attack vector demonstrates a sophisticated understanding of Java memory management patterns and compression protocol internals, as it exploits the specific behavior of Zstandard decompression routines when encountering malformed frame headers. This vulnerability affects systems where SnailJob is integrated with retry mechanisms and task persistence features, particularly those handling high-volume job processing workloads. The impact is amplified in environments where multiple tasks are queued for retry processing, as each malicious payload can potentially trigger independent memory exhaustion events.
Organizations should implement immediate mitigations including input validation at the deserialization layer to enforce reasonable bounds on decompressed data sizes, implement rate limiting mechanisms for task submission, and establish monitoring for unusual memory allocation patterns. The recommended approach involves configuring maximum allowed decompressed size limits within the FuryUtil.deserialize helper function and implementing proper exception handling to prevent JVM crashes from propagating through the system. Additionally, security teams should consider implementing automated detection mechanisms that can identify suspicious base64-encoded payloads containing malformed Zstandard headers within task arguments. This vulnerability highlights the importance of comprehensive input validation in serialization frameworks and aligns with ATT&CK technique T1499.004 for resource exhaustion attacks targeting application processing components.