CVE-2026-33626

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions prior to 0.12.3 have a Server-Side Request Forgery SSRF vulnerability in LMDeploy's vision-language module. The loadimage function in lmdeploy/vl/utils.py fetches arbitrary URLs without validating...

VulnCheck KEV: CVE-2026-33626

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions prior to 0.12.3 have a Server-Side Request Forgery SSRF vulnerability in LMDeploy's vision-language module. The loadimage function in lmdeploy/vl/utils.py fetches arbitrary URLs without validating...

Server-side Request Forgery (SSRF)

Overview Affected versions of this package are vulnerable to Server-side Request Forgery SSRF via the loadimage and encodeimagebase64 functions in LMDeploy's vision-language module, which fetch URLs without validating whether the destination is an internal or private address. An attacker can acce...

EUVD-2026-23970

LMDeploy has Server-Side Request Forgery SSRF via Vision-Language Image Loading...

CVE-2026-33626

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions prior to 0.12.3 have a Server-Side Request Forgery SSRF vulnerability in LMDeploy's vision-language module. The loadimage function in lmdeploy/vl/utils.py fetches arbitrary URLs without validating...

CVE-2026-33626

LMDeploy SSRF in the vision-language module (prior to 0.12.3) allows an attacker to fetch arbitrary URLs via load_image() in lmdeploy/vl/utils.py without internal IP validation, potentially reaching cloud metadata services and internal networks. The issue also affects encode_image_base64() and ca...

CVE-2026-33626

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions prior to 0.12.3 have a Server-Side Request Forgery SSRF vulnerability in LMDeploy's vision-language module. The loadimage function in lmdeploy/vl/utils.py fetches arbitrary URLs without validating...

CVE-2026-33626 LMDeploy Vulnerable to Server-Side Request Forgery (SSRF) via Vision-Language Image Loading

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions prior to 0.12.3 have a Server-Side Request Forgery SSRF vulnerability in LMDeploy's vision-language module. The loadimage function in lmdeploy/vl/utils.py fetches arbitrary URLs without validating...

CVE-2026-33626 LMDeploy Vulnerable to Server-Side Request Forgery (SSRF) via Vision-Language Image Loading

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions prior to 0.12.3 have a Server-Side Request Forgery SSRF vulnerability in LMDeploy's vision-language module. The loadimage function in lmdeploy/vl/utils.py fetches arbitrary URLs without validating...

lmdeploy 安全漏洞

lmdeploy is a toolkit developed by InternLM for compressing, deploying, and serving LLMs. Versions of LMDeploy prior to 0.12.3 contained security vulnerabilities; these vulnerabilities stemmed from the vision-language module’s loadimage function, which did not validate URLs, potentially allowing...

CVE-2026-33626: Server-Side Request Forgery (SSRF)

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions prior to 0.12.3 have a Server-Side Request Forgery SSRF vulnerability in LMDeploy's vision-language module. The loadimage function in lmdeploy/vl/utils.py fetches arbitrary URLs without validating...

PT-2026-33847

Name of the Vulnerable Software and Affected Versions LMDeploy versions prior to 0.12.3 Description A Server-Side Request Forgery SSRF issue exists in the vision-language module of LMDeploy, a toolkit for compressing, deploying, and serving large language models. The load image and encode image...

CVE-2025-67729

LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load is called without the weightsonly=True parameter when loading model checkpoint files. This allows an attacker to execute...

CVE-2025-67729

LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load is called without the weightsonly=True parameter when loading model checkpoint files. This allows an attacker to execute...

CVE-2025-67729

LMDeploy prior to v0.11.1 is affected by an insecure deserialization vulnerability in torch.load() called without weights_only=True when loading model checkpoint files (.bin/.pt). This can allow an attacker to execute arbitrary code on the victim's machine. The issue is patched in v0.11.1. Affect...

CVE-2025-67729 lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()

LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load is called without the weightsonly=True parameter when loading model checkpoint files. This allows an attacker to execute...

CVE-2025-67729 lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()

LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load is called without the weightsonly=True parameter when loading model checkpoint files. This allows an attacker to execute...

EUVD-2025-205455

lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load...

Deserialization of Untrusted Data

Overview Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the torch.load function. An attacker can execute arbitrary code by providing a specially crafted model file that is loaded without proper security parameters. Details Serialization is a process of...

lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()

Summary An insecure deserialization vulnerability exists in lmdeploy where torch.load is called without the weightsonly=True parameter when loading model checkpoint files. This allows an attacker to execute arbitrary code on the victim's machine when they load a malicious .bin or .pt model file...