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CVE-2025-15246: Deserialization in aizuda snail-job

0
Medium
VulnerabilityCVE-2025-15246cvecve-2025-15246
Published: Tue Dec 30 2025 (12/30/2025, 11:32:09 UTC)
Source: CVE Database V5
Vendor/Project: aizuda
Product: snail-job

Description

A vulnerability was determined in aizuda snail-job up to 1.7.0 on macOS. Affected by this vulnerability is the function FurySerializer.deserialize of the component API. This manipulation of the argument argsStr causes deserialization. Remote exploitation of the attack is possible. The exploit has been publicly disclosed and may be utilized.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/24/2026, 22:42:16 UTC

Technical Analysis

CVE-2025-15246 is a deserialization vulnerability identified in the aizuda snail-job software, specifically affecting versions 1.0 through 1.7.0 on macOS platforms. The vulnerability resides in the FurySerializer.deserialize function of the API component, where the argument argsStr is improperly handled, allowing an attacker to manipulate serialized data input. This manipulation leads to unsafe deserialization, a condition where untrusted data is deserialized without adequate validation, potentially enabling remote code execution or other malicious activities. The vulnerability can be exploited remotely without requiring user interaction or elevated privileges, which lowers the barrier for attackers. The CVSS 4.0 base score is 5.3, reflecting medium severity, with attack vector network (AV:N), low attack complexity (AC:L), no privileges required (PR:L), no user interaction (UI:N), and partial impacts on confidentiality, integrity, and availability (VC:L, VI:L, VA:L). Although no known exploits have been observed in the wild, the public disclosure of the vulnerability increases the likelihood of exploitation attempts. The lack of available patches at the time of disclosure necessitates immediate attention from organizations using affected versions. The vulnerability's exploitation could allow attackers to execute arbitrary code, manipulate data, or disrupt service availability, posing a significant risk to affected systems.

Potential Impact

The vulnerability poses a moderate risk to organizations using aizuda snail-job on macOS, potentially allowing attackers to execute arbitrary code remotely, compromise data integrity, and disrupt service availability. Exploitation could lead to unauthorized access, data manipulation, or denial of service conditions, impacting business operations and potentially exposing sensitive information. Since the attack requires no user interaction and low complexity, automated exploitation attempts could increase rapidly following public disclosure. Organizations relying on snail-job for critical workflows may face operational disruptions and reputational damage if exploited. The medium CVSS score reflects partial but meaningful impacts on confidentiality, integrity, and availability, emphasizing the need for timely mitigation. The absence of known exploits in the wild currently limits immediate widespread impact, but the risk remains significant due to the vulnerability's nature and remote exploitability.

Mitigation Recommendations

To mitigate CVE-2025-15246, organizations should first verify if their environments run affected versions (1.0 through 1.7.0) of aizuda snail-job on macOS. Immediate steps include isolating affected systems from untrusted networks to reduce exposure to remote attacks. Employ network-level controls such as firewalls and intrusion prevention systems to monitor and block suspicious deserialization-related traffic patterns. Since no official patches are currently available, consider applying application-level input validation or sandboxing the deserialization process to limit the impact of malicious payloads. Monitor security advisories from aizuda for forthcoming patches and apply them promptly once released. Additionally, conduct code audits focusing on deserialization routines and implement strict whitelisting of acceptable serialized objects. Employ runtime application self-protection (RASP) or endpoint detection and response (EDR) solutions to detect anomalous behavior indicative of exploitation attempts. Finally, maintain regular backups and incident response plans to quickly recover from potential compromises.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2025-12-29T08:31:37.045Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 695450aedb813ff03e2bec37

Added to database: 12/30/2025, 10:22:38 PM

Last enriched: 2/24/2026, 10:42:16 PM

Last updated: 3/26/2026, 3:53:44 AM

Views: 105

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