Unsafe Deserialization in SOY CMS Enables Remote Code Execution

SOY CMS contains an issue with deserialization of untrusted data. An arbitrary code may be executed by an attacker with the web server privilege.

Casky was already ahead

This CVE exploits attack patterns that Casky's 447matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

SOY CMS contains a critical deserialization vulnerability (CWE-502) that allows attackers to execute arbitrary code with web server privileges. This vulnerability is particularly dangerous because deserialization of untrusted data is a well-known attack vector that bypasses traditional input validation. Any organization running SOY CMS is at immediate risk, especially internet-facing instances. An unauthenticated attacker can craft malicious serialized objects that, when processed by the application, instantiate arbitrary code execution—effectively giving them the same privileges as the web server process.

Casky's 447 matched skills leverage Claude AI's extended reasoning to detect the attack patterns underlying this vulnerability across the Initial Access (TA0001), Persistence (TA0043), and Execution (TA0002) phases of the MITRE ATT&CK framework. Practitioners using Casky would identify suspicious deserialization calls in application logs, detect unusual process spawning following HTTP requests, and recognize persistence mechanisms established post-exploitation. The platform's skill-mapping helps security teams correlate seemingly disparate indicators—such as unexpected serialized object structures in network traffic, anomalous file creation patterns, or lateral movement attempts—to recognize the full attack chain rather than isolated events. This comprehensive visibility enables faster incident response and more effective threat hunting.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

447 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-78032.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

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abusing-dpapi-for-credential-access

red teaming · high

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abusing-shadow-credentials-for-privesc

red teaming · high

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MITRE ATT&CK Techniques

TA0001 TA0043 TA0002

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