CVE-2026-10800 in FastDeploy
Summary
by MITRE • 06/04/2026
A weakness has been identified in PaddlePaddle FastDeploy up to 2.4.1. Affected by this issue is the function hash_features of the file fastdeploy/multimodal/hasher.py of the component MultimodalHasher. Executing a manipulation can lead to use of weak hash. The attack requires local access. A high complexity level is associated with this attack. The exploitation is known to be difficult. This patch is called 374945747652a8d32965591c0c01a00c88b7067f. Applying a patch is advised to resolve this issue.
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Analysis
by VulDB Data Team • 06/04/2026
The vulnerability identified in PaddlePaddle FastDeploy version 2.4.1 represents a significant security concern within the multimodal hashing component that could compromise system integrity. This weakness specifically affects the hash_features function located in the fastdeploy/multimodal/hasher.py file, which forms part of the MultimodalHasher module. The issue stems from the implementation of a weak hashing algorithm that fails to provide adequate cryptographic security guarantees, creating potential attack vectors for malicious actors who can manipulate the hashing process to produce predictable or collidable hash values.
The technical flaw manifests through the use of insufficiently secure hash functions that do not meet modern cryptographic standards for collision resistance and preimage resistance. This weakness allows attackers with local access to manipulate the hashing process and potentially exploit the predictable nature of the implemented algorithm. The vulnerability requires local system access to exploit, which limits its immediate exposure but still presents a serious risk to systems where local privileges are compromised or where attackers can gain foothold through other means. The high complexity level associated with exploitation indicates that while the attack is not trivial, it remains feasible for determined adversaries with sufficient technical capabilities.
The operational impact of this vulnerability extends beyond simple data integrity concerns, as weak hashing can enable various malicious activities including but not limited to bypassing security controls, creating collision attacks, and potentially facilitating more sophisticated exploits. The use of weak hash functions in cryptographic contexts violates fundamental security principles and can undermine the security of entire applications that rely on these hash values for authentication, integrity verification, or access control mechanisms. This vulnerability aligns with CWE-327, which addresses the use of weak cryptographic algorithms, and represents a clear violation of security best practices in cryptographic implementation.
The recommended mitigation strategy involves applying the specific patch identified by the commit hash 374945747652a8d32965591c0c01a00c88b7067f, which addresses the root cause by replacing the weak hash implementation with a more robust cryptographic algorithm. Organizations should prioritize applying this patch across all affected systems to ensure proper cryptographic security. Additionally, system administrators should conduct thorough security assessments to identify any other potential uses of weak hashing algorithms within their PaddlePaddle FastDeploy implementations. The remediation process should include verifying that the patched version properly implements industry-standard hash functions such as SHA-256 or higher, ensuring compliance with security frameworks and maintaining the integrity of cryptographic operations within the multimodal hashing component. This vulnerability demonstrates the critical importance of cryptographic hygiene and proper security implementation in machine learning frameworks where hash functions play essential roles in data processing and system security.