Taro L. Saito

10 exploits Active since Jun 2023
CVE-2023-34454 WRITEUP MEDIUM WRITEUP
snappy-java < 1.1.10.1 - Integer Overflow via Unchecked Multiplication in Compress Functions
snappy-java is a fast compressor/decompressor for Java. Due to unchecked multiplications, an integer overflow may occur in versions prior to 1.1.10.1, causing an unrecoverable fatal error. The function `compress(char[] input)` in the file `Snappy.java` receives an array of characters and compresses it. It does so by multiplying the length by 2 and passing it to the rawCompress` function. Since the length is not tested, the multiplication by two can cause an integer overflow and become negative. The rawCompress function then uses the received length and passes it to the natively compiled maxCompressedLength function, using the returned value to allocate a byte array. Since the maxCompressedLength function treats the length as an unsigned integer, it doesn’t care that it is negative, and it returns a valid value, which is casted to a signed integer by the Java engine. If the result is negative, a `java.lang.NegativeArraySizeException` exception will be raised while trying to allocate the array `buf`. On the other side, if the result is positive, the `buf` array will successfully be allocated, but its size might be too small to use for the compression, causing a fatal Access Violation error. The same issue exists also when using the `compress` functions that receive double, float, int, long and short, each using a different multiplier that may cause the same issue. The issue most likely won’t occur when using a byte array, since creating a byte array of size 0x80000000 (or any other negative value) is impossible in the first place. Version 1.1.10.1 contains a patch for this issue.
CVSS 5.9
CVE-2023-34453 WRITEUP MEDIUM WRITEUP
snappy-java < 1.1.10.1 - Integer Overflow in BitShuffle.shuffle
snappy-java is a fast compressor/decompressor for Java. Due to unchecked multiplications, an integer overflow may occur in versions prior to 1.1.10.1, causing a fatal error. The function `shuffle(int[] input)` in the file `BitShuffle.java` receives an array of integers and applies a bit shuffle on it. It does so by multiplying the length by 4 and passing it to the natively compiled shuffle function. Since the length is not tested, the multiplication by four can cause an integer overflow and become a smaller value than the true size, or even zero or negative. In the case of a negative value, a `java.lang.NegativeArraySizeException` exception will raise, which can crash the program. In a case of a value that is zero or too small, the code that afterwards references the shuffled array will assume a bigger size of the array, which might cause exceptions such as `java.lang.ArrayIndexOutOfBoundsException`. The same issue exists also when using the `shuffle` functions that receive a double, float, long and short, each using a different multiplier that may cause the same issue. Version 1.1.10.1 contains a patch for this vulnerability.
CVSS 5.9
CVE-2023-34454 WRITEUP MEDIUM WRITEUP
snappy-java < 1.1.10.1 - Integer Overflow via Unchecked Multiplication in Compress Functions
snappy-java is a fast compressor/decompressor for Java. Due to unchecked multiplications, an integer overflow may occur in versions prior to 1.1.10.1, causing an unrecoverable fatal error. The function `compress(char[] input)` in the file `Snappy.java` receives an array of characters and compresses it. It does so by multiplying the length by 2 and passing it to the rawCompress` function. Since the length is not tested, the multiplication by two can cause an integer overflow and become negative. The rawCompress function then uses the received length and passes it to the natively compiled maxCompressedLength function, using the returned value to allocate a byte array. Since the maxCompressedLength function treats the length as an unsigned integer, it doesn’t care that it is negative, and it returns a valid value, which is casted to a signed integer by the Java engine. If the result is negative, a `java.lang.NegativeArraySizeException` exception will be raised while trying to allocate the array `buf`. On the other side, if the result is positive, the `buf` array will successfully be allocated, but its size might be too small to use for the compression, causing a fatal Access Violation error. The same issue exists also when using the `compress` functions that receive double, float, int, long and short, each using a different multiplier that may cause the same issue. The issue most likely won’t occur when using a byte array, since creating a byte array of size 0x80000000 (or any other negative value) is impossible in the first place. Version 1.1.10.1 contains a patch for this issue.
CVSS 5.9
CVE-2023-34455 WRITEUP HIGH WRITEUP
snappy-java < 1.1.10.1 - Denial of Service via Unchecked Chunk Length
snappy-java is a fast compressor/decompressor for Java. Due to use of an unchecked chunk length, an unrecoverable fatal error can occur in versions prior to 1.1.10.1. The code in the function hasNextChunk in the fileSnappyInputStream.java checks if a given stream has more chunks to read. It does that by attempting to read 4 bytes. If it wasn’t possible to read the 4 bytes, the function returns false. Otherwise, if 4 bytes were available, the code treats them as the length of the next chunk. In the case that the `compressed` variable is null, a byte array is allocated with the size given by the input data. Since the code doesn’t test the legality of the `chunkSize` variable, it is possible to pass a negative number (such as 0xFFFFFFFF which is -1), which will cause the code to raise a `java.lang.NegativeArraySizeException` exception. A worse case would happen when passing a huge positive value (such as 0x7FFFFFFF), which would raise the fatal `java.lang.OutOfMemoryError` error. Version 1.1.10.1 contains a patch for this issue.
CVSS 7.5
CVE-2023-34454 WRITEUP MEDIUM WRITEUP
snappy-java < 1.1.10.1 - Integer Overflow via Unchecked Multiplication in Compress Functions
snappy-java is a fast compressor/decompressor for Java. Due to unchecked multiplications, an integer overflow may occur in versions prior to 1.1.10.1, causing an unrecoverable fatal error. The function `compress(char[] input)` in the file `Snappy.java` receives an array of characters and compresses it. It does so by multiplying the length by 2 and passing it to the rawCompress` function. Since the length is not tested, the multiplication by two can cause an integer overflow and become negative. The rawCompress function then uses the received length and passes it to the natively compiled maxCompressedLength function, using the returned value to allocate a byte array. Since the maxCompressedLength function treats the length as an unsigned integer, it doesn’t care that it is negative, and it returns a valid value, which is casted to a signed integer by the Java engine. If the result is negative, a `java.lang.NegativeArraySizeException` exception will be raised while trying to allocate the array `buf`. On the other side, if the result is positive, the `buf` array will successfully be allocated, but its size might be too small to use for the compression, causing a fatal Access Violation error. The same issue exists also when using the `compress` functions that receive double, float, int, long and short, each using a different multiplier that may cause the same issue. The issue most likely won’t occur when using a byte array, since creating a byte array of size 0x80000000 (or any other negative value) is impossible in the first place. Version 1.1.10.1 contains a patch for this issue.
CVSS 5.9
CVE-2023-34453 WRITEUP MEDIUM WRITEUP
snappy-java < 1.1.10.1 - Integer Overflow in BitShuffle.shuffle
snappy-java is a fast compressor/decompressor for Java. Due to unchecked multiplications, an integer overflow may occur in versions prior to 1.1.10.1, causing a fatal error. The function `shuffle(int[] input)` in the file `BitShuffle.java` receives an array of integers and applies a bit shuffle on it. It does so by multiplying the length by 4 and passing it to the natively compiled shuffle function. Since the length is not tested, the multiplication by four can cause an integer overflow and become a smaller value than the true size, or even zero or negative. In the case of a negative value, a `java.lang.NegativeArraySizeException` exception will raise, which can crash the program. In a case of a value that is zero or too small, the code that afterwards references the shuffled array will assume a bigger size of the array, which might cause exceptions such as `java.lang.ArrayIndexOutOfBoundsException`. The same issue exists also when using the `shuffle` functions that receive a double, float, long and short, each using a different multiplier that may cause the same issue. Version 1.1.10.1 contains a patch for this vulnerability.
CVSS 5.9
CVE-2023-34454 WRITEUP MEDIUM WRITEUP
snappy-java < 1.1.10.1 - Integer Overflow via Unchecked Multiplication in Compress Functions
snappy-java is a fast compressor/decompressor for Java. Due to unchecked multiplications, an integer overflow may occur in versions prior to 1.1.10.1, causing an unrecoverable fatal error. The function `compress(char[] input)` in the file `Snappy.java` receives an array of characters and compresses it. It does so by multiplying the length by 2 and passing it to the rawCompress` function. Since the length is not tested, the multiplication by two can cause an integer overflow and become negative. The rawCompress function then uses the received length and passes it to the natively compiled maxCompressedLength function, using the returned value to allocate a byte array. Since the maxCompressedLength function treats the length as an unsigned integer, it doesn’t care that it is negative, and it returns a valid value, which is casted to a signed integer by the Java engine. If the result is negative, a `java.lang.NegativeArraySizeException` exception will be raised while trying to allocate the array `buf`. On the other side, if the result is positive, the `buf` array will successfully be allocated, but its size might be too small to use for the compression, causing a fatal Access Violation error. The same issue exists also when using the `compress` functions that receive double, float, int, long and short, each using a different multiplier that may cause the same issue. The issue most likely won’t occur when using a byte array, since creating a byte array of size 0x80000000 (or any other negative value) is impossible in the first place. Version 1.1.10.1 contains a patch for this issue.
CVSS 5.9
CVE-2023-34455 WRITEUP HIGH WRITEUP
snappy-java < 1.1.10.1 - Denial of Service via Unchecked Chunk Length
snappy-java is a fast compressor/decompressor for Java. Due to use of an unchecked chunk length, an unrecoverable fatal error can occur in versions prior to 1.1.10.1. The code in the function hasNextChunk in the fileSnappyInputStream.java checks if a given stream has more chunks to read. It does that by attempting to read 4 bytes. If it wasn’t possible to read the 4 bytes, the function returns false. Otherwise, if 4 bytes were available, the code treats them as the length of the next chunk. In the case that the `compressed` variable is null, a byte array is allocated with the size given by the input data. Since the code doesn’t test the legality of the `chunkSize` variable, it is possible to pass a negative number (such as 0xFFFFFFFF which is -1), which will cause the code to raise a `java.lang.NegativeArraySizeException` exception. A worse case would happen when passing a huge positive value (such as 0x7FFFFFFF), which would raise the fatal `java.lang.OutOfMemoryError` error. Version 1.1.10.1 contains a patch for this issue.
CVSS 7.5
CVE-2023-43642 WRITEUP HIGH WRITEUP
snappy-java < 1.1.10.4 - Denial of Service via Large Chunk Size in SnappyInputStream
snappy-java is a Java port of the snappy, a fast C++ compresser/decompresser developed by Google. The SnappyInputStream was found to be vulnerable to Denial of Service (DoS) attacks when decompressing data with a too large chunk size. Due to missing upper bound check on chunk length, an unrecoverable fatal error can occur. All versions of snappy-java including the latest released version 1.1.10.3 are vulnerable to this issue. A fix has been introduced in commit `9f8c3cf74` which will be included in the 1.1.10.4 release. Users are advised to upgrade. Users unable to upgrade should only accept compressed data from trusted sources.
CVSS 7.5
CVE-2026-21452 WRITEUP HIGH WRITEUP
MessagePack for Java < 0.9.11 - Denial of Service via EXT32 Payload Length
MessagePack for Java is a serializer implementation for Java. A denial-of-service vulnerability exists in versions prior to 0.9.11 when deserializing .msgpack files containing EXT32 objects with attacker-controlled payload lengths. While MessagePack-Java parses extension headers lazily, it later trusts the declared EXT payload length when materializing the extension data. When ExtensionValue.getData() is invoked, the library attempts to allocate a byte array of the declared length without enforcing any upper bound. A malicious .msgpack file of only a few bytes can therefore trigger unbounded heap allocation, resulting in JVM heap exhaustion, process termination, or service unavailability. This vulnerability is triggered during model loading / deserialization, making it a model format vulnerability suitable for remote exploitation. The vulnerability enables a remote denial-of-service attack against applications that deserialize untrusted .msgpack model files using MessagePack for Java. A specially crafted but syntactically valid .msgpack file containing an EXT32 object with an attacker-controlled, excessively large payload length can trigger unbounded memory allocation during deserialization. When the model file is loaded, the library trusts the declared length metadata and attempts to allocate a byte array of that size, leading to rapid heap exhaustion, excessive garbage collection, or immediate JVM termination with an OutOfMemoryError. The attack requires no malformed bytes, user interaction, or elevated privileges and can be exploited remotely in real-world environments such as model registries, inference services, CI/CD pipelines, and cloud-based model hosting platforms that accept or fetch .msgpack artifacts. Because the malicious file is extremely small yet valid, it can bypass basic validation and scanning mechanisms, resulting in complete service unavailability and potential cascading failures in production systems. Version 0.9.11 fixes the vulnerability.
CVSS 7.5