CVE-2026-93452 in snappy-java
Summary
by MITRE • 09/18/2026
snappy-java through 1.1.10.8 contains a buffer overflow vulnerability in Snappy.compress(ByteBuffer, ByteBuffer) that writes past the end of the destination buffer. Attackers can supply incompressible data that exceeds the destination buffer's remaining capacity, corrupting off-heap memory and causing JVM termination.
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Analysis
by VulDB Data Team • 09/18/2026
The vulnerability identified in snappy-java versions up to 1.1.10.8 represents a critical failure in bounds checking within the native compression logic invoked by the Java method Snappy.compress(ByteBuffer, ByteBuffer). This library serves as a high-performance interface for Google's Snappy compression algorithm, widely utilized in big data ecosystems such as Apache Hadoop and Kafka for efficient serialization of large datasets. The core technical flaw resides in how the JNI layer calculates memory offsets when writing compressed output to an off-heap destination buffer. Specifically, the implementation fails to verify that the calculated end position of the write operation remains within the allocated bounds of the target ByteBuffer before executing the native copy instruction. This oversight allows for a classic heap-based or stack-based buffer overflow condition depending on the underlying platform architecture and memory layout, though in this context it primarily manifests as corruption of off-heap direct byte buffers managed by the JVM.
From an operational perspective, the exploitation vector requires an attacker to supply input data that is specifically designed to be incompressible or minimally compressible while simultaneously ensuring that the compressed output size exceeds the remaining capacity of the destination buffer provided by the application developer. In many real-world scenarios involving untrusted user inputs processed through compression pipelines, such as file upload services, message queue consumers, or API endpoints accepting serialized payloads, this condition can be triggered remotely without authentication if proper input validation is absent. When the overflow occurs, it writes data beyond the allocated memory region of the destination buffer. This action corrupts adjacent memory structures within the Java Native Interface layer and potentially affects other objects in the JVM heap that reside near the off-heap allocation in physical or virtual memory space.
The immediate consequence of this memory corruption is typically a catastrophic failure of the Java Virtual Machine, resulting in an abrupt termination of the process via a segmentation fault or access violation signal sent to the operating system. This leads directly to a Denial of Service condition for any service relying on snappy-java for data processing. However, beyond simple availability impact, buffer overflows carry significant potential for arbitrary code execution if the attacker can precisely control the overwritten memory contents and target specific return addresses or function pointers within the native library's call stack. Although modern JVMs employ various mitigations such as Address Space Layout Randomization and non-executable stacks, the risk of remote code execution remains a severe threat vector in environments where snappy-java is used to process data from untrusted sources.
This vulnerability aligns with CWE-120 Buffer Copy without Checking Size of Input Classic buffer overflow and CWE-787 Out-of-bounds Write on an invalid pointer. In the context of the MITRE ATT&CK framework, this flaw facilitates Initial Exploitation for Denial of Service via T1499 Endpoint Denial of Service or potentially Privilege Escalation if combined with other vulnerabilities to achieve Remote Code Execution under T1203 Exploitation for Client Execution. The lack of rigorous boundary checks in native code bindings is a common pitfall that underscores the importance of defensive programming practices when interfacing Java applications with C-based libraries.
Mitigation strategies must prioritize immediate upgrading to snappy-java version 1.1.10.9 or later, where this bounds checking issue has been resolved by developers implementing strict validation of buffer capacities prior to invoking native compression routines. For organizations unable to patch immediately due to dependency constraints, defensive coding patterns should be adopted within the application layer. This includes validating input data characteristics and ensuring that destination buffers are allocated with sufficient headroom or using wrapper methods that explicitly check remaining capacity before calling compress operations. Additionally, deploying runtime protection mechanisms such as Java Security Managers or advanced threat detection systems capable of monitoring native memory access anomalies can provide an additional layer of defense against exploitation attempts targeting this specific weakness in the compression pipeline.