aircompressor Snappy and LZ4 Java-based decompressor implementation can leak information from reused output buffer

Summary Incorrect handling of malformed data in Java-based decompressor implementations for Snappy and LZ4 allows remote attackers to read previous buffer contents via crafted compressed input. In applications where the output buffer is reused without being cleared, this may lead to disclosure of...

CVE-2025-67721

Aircompressor is a library with ports of the Snappy, LZO, LZ4, and Zstandard compression algorithms to Java. In versions 3.3 and below, incorrect handling of malformed data in Java-based decompressor implementations for Snappy and LZ4 allow remote attackers to read previous buffer contents via...

CVE-2025-67721 Aircompressor's Snappy and LZ4 Java-based decompressor implementation can leak information from reused output buffer

Aircompressor is a library with ports of the Snappy, LZO, LZ4, and Zstandard compression algorithms to Java. In versions 3.3 and below, incorrect handling of malformed data in Java-based decompressor implementations for Snappy and LZ4 allow remote attackers to read previous buffer contents via...

CVE-2025-67721 Aircompressor's Snappy and LZ4 Java-based decompressor implementation can leak information from reused output buffer

Aircompressor is a library with ports of the Snappy, LZO, LZ4, and Zstandard compression algorithms to Java. In versions 3.3 and below, incorrect handling of malformed data in Java-based decompressor implementations for Snappy and LZ4 allow remote attackers to read previous buffer contents via...

CVE-2025-67721 Aircompressor's Snappy and LZ4 Java-based decompressor implementation can leak information from reused output buffer

Aircompressor is a library with ports of the Snappy, LZO, LZ4, and Zstandard compression algorithms to Java. In versions 3.3 and below, incorrect handling of malformed data in Java-based decompressor implementations for Snappy and LZ4 allow remote attackers to read previous buffer contents via...

CVE-2025-67721

CVE-2025-67721 affects Aircompressor (Java) up to version 3.3. Improper handling of malformed data in Java-based Snappy and LZ4 decompressors can cause a read of previous buffer contents when the same output buffer is reused for multiple inputs, e.g., in a web server. This may leak sensitive data...

CVE-2025-67721: Insertion of Sensitive Information Into Sent Data

Aircompressor is a library with ports of the Snappy, LZO, LZ4, and Zstandard compression algorithms to Java. In versions 3.3 and below, incorrect handling of malformed data in Java-based decompressor implementations for Snappy and LZ4 allow remote attackers to read previous buffer contents via...

Aircompressor security vulnerabilities

Aircompressor is an airlift open source library that ports the Snappy, LZO, LZ4 and Zstandard compression algorithms to Java. Aircompressor 3.3 and earlier versions contain a security vulnerability that stems from improper handling of malformed data by the Snappy and LZ4 decompressors, which coul...

PT-2025-51030

Name of the Vulnerable Software and Affected Versions Aircompressor versions 3.3 and below Description Aircompressor is a Java library providing ports of Snappy, LZO, LZ4, and Zstandard compression algorithms. Incorrect handling of malformed data in the Java-based decompressor implementations for...

CVE-2025-65942

VictoriaMetrics is a scalable solution for monitoring and managing time series data. In versions from 1.0.0 to before 1.110.23, from 1.111.0 to before 1.122.8, and from 1.123.0 to before 1.129.1, affected versions are vulnerable to DoS attacks because the snappy decoder ignored VictoriaMetrics...

CVE-2025-65942

VictoriaMetrics is a scalable solution for monitoring and managing time series data. In versions from 1.0.0 to before 1.110.23, from 1.111.0 to before 1.122.8, and from 1.123.0 to before 1.129.1, affected versions are vulnerable to DoS attacks because the snappy decoder ignored VictoriaMetrics...

CVE-2025-65942

VictoriaMetrics versions 1.0.0–1.110.22, 1.111.0–1.122.7, and 1.123.0–1.129.0 are affected by a DoS/OOM vulnerability in the Snappy decoder that ignores request size limits and can trigger excessive memory usage via malformed blocks. The underlying cause is the decoder not enforcing block-size ch...

CVE-2025-65942 VictoriaMetrics Snappy Decoder DoS Vulnerability is Causing OOM

VictoriaMetrics is a scalable solution for monitoring and managing time series data. In versions from 1.0.0 to before 1.110.23, from 1.111.0 to before 1.122.8, and from 1.123.0 to before 1.129.1, affected versions are vulnerable to DoS attacks because the snappy decoder ignored VictoriaMetrics...

CVE-2025-65942 VictoriaMetrics Snappy Decoder DoS Vulnerability is Causing OOM

VictoriaMetrics is a scalable solution for monitoring and managing time series data. In versions from 1.0.0 to before 1.110.23, from 1.111.0 to before 1.122.8, and from 1.123.0 to before 1.129.1, affected versions are vulnerable to DoS attacks because the snappy decoder ignored VictoriaMetrics...

EUVD-2025-199645

VictoriaMetrics is a scalable solution for monitoring and managing time series data. In versions from 1.0.0 to before 1.110.23, from 1.111.0 to before 1.122.8, and from 1.123.0 to before 1.129.1, affected versions are vulnerable to DoS attacks because the snappy decoder ignored VictoriaMetrics...

CVE-2025-65942 VictoriaMetrics Snappy Decoder DoS Vulnerability is Causing OOM

VictoriaMetrics is a scalable solution for monitoring and managing time series data. In versions from 1.0.0 to before 1.110.23, from 1.111.0 to before 1.122.8, and from 1.123.0 to before 1.129.1, affected versions are vulnerable to DoS attacks because the snappy decoder ignored VictoriaMetrics...

VictoriaMetrics' Snappy Decoder DoS Vulnerability is Causing OOM

Impact Affected versions are vulnerable to DoS attacks because the snappy decoder ignored VictoriaMetrics request size limits allowing malformed blocks to trigger excessive memory use. This could lead to OOM errors and service instability. The fix enforces block-size checks based on MaxRequest...

Allocation of Resources Without Limits or Throttling

Overview Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling in the snappy:Decoder function. An attacker can cause excessive memory consumption and potential out-of-memory errors by sending malformed blocks that bypass request size limits. This...

Allocation of Resources Without Limits or Throttling

Overview Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling in the snappy:Decoder function. An attacker can cause excessive memory consumption and potential out-of-memory errors by sending malformed blocks that bypass request size limits. This...

Allocation of Resources Without Limits or Throttling

Overview Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling in the snappy:Decoder function. An attacker can cause excessive memory consumption and potential out-of-memory errors by sending malformed blocks that bypass request size limits. This...