{"id":64099,"date":"2025-08-16T15:33:08","date_gmt":"2025-08-16T15:33:08","guid":{"rendered":""},"modified":"2025-10-03T12:33:01","modified_gmt":"2025-10-03T18:33:01","slug":"cve-2025-45146-high-risk-deserialization-vulnerability-in-modelcache-for-llm","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-45146-high-risk-deserialization-vulnerability-in-modelcache-for-llm\/","title":{"rendered":"CVE-2025-45146: High-Risk Deserialization Vulnerability in ModelCache for LLM<\/strong>"},"content":{"rendered":"

Overview<\/strong><\/p>\n

In the rapidly evolving landscape of cybersecurity, a new high-risk vulnerability has surfaced, dubbed as CVE-2025-45146. This vulnerability resides in the ModelCache for LLM through v0.2.0 and potentially exposes systems to arbitrary code execution risks, given that the attackers are able to supply maliciously crafted data. This discovery is especially significant for organizations and systems that leverage this technology, as successful exploitation could potentially lead to system compromise<\/a> and data leakage.
\nThe severity and potential impact of this vulnerability make it a critical<\/a> issue that demands immediate attention. It is crucial for organizations to understand and mitigate this risk promptly, as cybercriminals often capitalize on such vulnerabilities to infiltrate systems<\/a>, disrupt operations, and exfiltrate sensitive data.<\/p>\n

Vulnerability Summary<\/strong><\/p>\n

CVE ID: CVE-2025-45146
\nSeverity: Critical (CVSS: 9.8)
\nAttack Vector: Network
\nPrivileges Required: None
\nUser Interaction: None
\nImpact: Potential system compromise and data<\/a> leakage<\/p>\n

Affected Products<\/strong><\/p>\n

Product | Affected Versions<\/p>\n

ModelCache for LLM | v0.2.0 and below<\/p>\n

How the Exploit Works<\/strong><\/p>\n

The vulnerability lies within the deserialization<\/a> process within the \/manager\/data_manager.py component of ModelCache for LLM. Deserialization is the reverse process of converting data<\/a> from a byte stream back into a copy of the original object. However, insecure deserialization can lead to critical<\/a> security flaws.
\nIn this case, an attacker can craft malicious data and send it to the system<\/a>. The system, in turn, deserializes this data<\/a>, and if the data is manipulated correctly, it can lead to the execution of arbitrary code. This means that the attacker can remotely execute commands that can compromise the system or lead<\/a> to data leakage.<\/p>\n

Conceptual Example Code<\/strong><\/p>\n

Here is a conceptual example of how the vulnerability might be exploited. This could be a sample HTTP request, where the attacker sends a POST request<\/a> containing malicious payload:<\/p>\n

POST \/manager\/data_manager.py HTTP\/1.1\nHost: target.example.com\nContent-Type: application\/json\n{ \"malicious_payload\": \"crafted malicious code here\" }<\/code><\/pre>\n
This payload, when processed by the vulnerable system, could lead to arbitrary code<\/a> execution, effectively compromising the system.<\/p>\n
Mitigation Measures<\/strong><\/p>\n
Organizations are strongly advised to apply the vendor’s patch to correct this vulnerability. In the absence of an immediate patch, it is recommended to employ a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) as a temporary mitigation measure. These tools can provide an additional layer of security by detecting<\/a> and blocking malicious activities.
\nIn the long run, organizations should consider implementing secure coding practices to avoid such vulnerabilities<\/a>, including secure serialization and deserialization processes.
\nIn conclusion, CVE-2025-45146 is a serious vulnerability<\/a> that demands immediate attention and remediation. It underscores the complexity of today’s cybersecurity<\/a> landscape and the importance of staying abreast with the latest vulnerabilities and threat vectors.<\/p>\n","protected":false},"excerpt":{"rendered":"
Overview In the rapidly evolving landscape of cybersecurity, a new high-risk vulnerability has surfaced, dubbed as CVE-2025-45146. This vulnerability resides in the ModelCache for LLM through v0.2.0 and potentially exposes systems to arbitrary code execution risks, given that the attackers are able to supply maliciously crafted data. This discovery is especially significant for organizations and […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[1],"tags":[],"vendor":[],"product":[],"attack_vector":[80],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-64099","post","type-post","status-publish","format-standard","hentry","category-uncategorized","attack_vector-rce"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t