Vulnerabilidades do Apache Software Foundation Fory

Out-of-bounds Read vulnerability in Apache Fory C++ deserialization. This issue affects Apache Fory C++ versions from 0.14.0 before 1.5.0 when deserializing structs containing tagged integer fields. A crafted input payload may trigger an out-of-bounds heap read in the tagged integer fast-path deserializer, potentially causing information disclosure or denial of service. Users are recommended to upgrade to Apache Fory 1.5.0, which fixes this issue. Applications that do not use Apache Fory C++ or do not use tagged integer fields are not affected.

Heap type confusion vulnerability in Apache Fory C++ deserialization. This issue affects Apache Fory C++ versions from 0.14.0 before 1.5.0. A crafted input payload can bypass type compatibility checks during polymorphic smart-pointer deserialization, causing an object of an incompatible type to be treated as the declared base type. This may result in undefined behavior and potentially lead to denial of service or arbitrary code execution. Users are recommended to upgrade to Apache Fory 1.5.0, which fixes this issue. Applications not using Apache Fory C++ polymorphic smart-pointer deserialization are not affected.

Deserialization of untrusted data vulnerability that may allow class-registration checks to be bypassed during Java lambda deserialization. Only lambda capture class is affected This issue affects Apache Fory: from before 1.4.0. Users are recommended to upgrade to version 1.4.0, which fixes the issue.

Out-of-bounds read via sun.misc.Unsafe in Apache Fory. When out-of-band zero-copy deserialization is used, readAlignedVarUint() can read beyond the bounds of the underlying buffer. Out-of-band zero-copy deserialization is an opt-in feature; applications that do not use it are not affected. This issue affects Apache Fory (formerly Apache Fury): from 0.5.0 before 1.4.0. Versions before 0.11.0 were published under the Maven coordinates org.apache.fury:fury-core. Users are recommended to upgrade to version 1.4.0, which fixes the issue.

Heap type confusion and out-of-bounds read/write in the Apache Fory C++ implementation. When deserializing data in compatible mode, the field-skip paths do not correctly validate the declared field types against the actual data, so input with an inconsistent schema can cause type confusion and out-of-bounds memory access. Only the C++ implementation is affected; other language implementations of Apache Fory are not. This issue affects Apache Fory C++: from 0.14.0 before 1.4.0. Users are recommended to upgrade to version 1.4.0, which fixes the issue.

Deserialization of Untrusted Data in the Java replace-resolve path in Apache Fory fory-core Java SDK before 1.1.0 on Java/JVM platforms allows a remote attacker to bypass class registration, TypeChecker, and DisallowedList checks and invoke classpath-present readResolve/readExternal hooks via crafted Fory serialized data. Users are recommended to upgrade to version 1.1.0 or later, which fixes this issue.

Deserialization of untrusted data in Apache Fory PyFory. PyFory's ReduceSerializer could bypass documented DeserializationPolicy validation hooks during reduce-state restoration and global-name resolution. An application is vulnerable if it deserializes attacker-controlled data using PyFory Python-native mode with strict mode disabled and relies on DeserializationPolicy to restrict unsafe classes, functions, or module attributes. This issue affects Apache Fory: from before 1.0.0. Mitigation: Users of Apache Fory are recommended to upgrade to version 1.0.0 or later, which enforces DeserializationPolicy validation for the affected ReduceSerializer paths and thus fixes this issue.

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stream that selects pickle-fallback serializer during deserialization, leading to the execution of `pickle.loads`, which is vulnerable to remote code execution. Users are recommended to upgrade to pyfory version 0.12.3 or later, which has removed pickle fallback serializer and thus fixes this issue.