CVE-2026-33654

nanobot is a personal AI assistant. Prior to version 0.1.6, an indirect prompt injection vulnerability exists in the email channel processing module nanobot/channels/email.py, allowing a remote, unauthenticated attacker to execute arbitrary LLM instructions and subsequently, system tools without...

Directory Traversal

Overview langchain-core is a Building applications with LLMs through composability Affected versions of this package are vulnerable to Directory Traversal via the loadprompt, loadpromptfromconfig, or .save methods on prompt classes. An attacker can access arbitrary files on the host filesystem by...

LangChain Core has Path Traversal vulnerabilites in legacy `load_prompt` functions

Summary Multiple functions in langchaincore.prompts.loading read files from paths embedded in deserialized config dicts without validating against directory traversal or absolute path injection. When an application passes user-influenced prompt configurations to loadprompt or loadpromptfromconfig...

CVE-2026-33654 Zero-Click Indirect Prompt Injection and Authentication Bypass via Email Polling

nanobot is a personal AI assistant. Prior to version 0.1.6, an indirect prompt injection vulnerability exists in the email channel processing module nanobot/channels/email.py, allowing a remote, unauthenticated attacker to execute arbitrary LLM instructions and subsequently, system tools without...

CVE-2026-33654 Zero-Click Indirect Prompt Injection and Authentication Bypass via Email Polling

nanobot is a personal AI assistant. Prior to version 0.1.6, an indirect prompt injection vulnerability exists in the email channel processing module nanobot/channels/email.py, allowing a remote, unauthenticated attacker to execute arbitrary LLM instructions and subsequently, system tools without...

EUVD-2026-16777

nanobot is a personal AI assistant. Prior to version 0.1.6, an indirect prompt injection vulnerability exists in the email channel processing module nanobot/channels/email.py, allowing a remote, unauthenticated attacker to execute arbitrary LLM instructions and subsequently, system tools without...

CVE-2026-33654

nanobot is a personal AI assistant. Prior to version 0.1.6, an indirect prompt injection vulnerability exists in the email channel processing module nanobot/channels/email.py, allowing a remote, unauthenticated attacker to execute arbitrary LLM instructions and subsequently, system tools without...

CVE-2026-33654

Summary of CVE-2026-33654 : nanobot (personal AI assistant) contains an indirect prompt injection vulnerability in the email channel processing module (nanobot/channels/email.py) prior to version 0.1.6. An unauthenticated remote attacker can send a malicious email to the bot’s monitored address, ...

CVE-2026-33654 Zero-Click Indirect Prompt Injection and Authentication Bypass via Email Polling

nanobot is a personal AI assistant. Prior to version 0.1.6, an indirect prompt injection vulnerability exists in the email channel processing module nanobot/channels/email.py, allowing a remote, unauthenticated attacker to execute arbitrary LLM instructions and subsequently, system tools without...

CVE-2026-30302

The command auto-approval module in CodeRider-Kilo contains an OS Command Injection vulnerability, rendering its whitelist security mechanism ineffective. The vulnerability stems from the incorrect use of an incompatible command parser the Unix-based shell-quote library to analyze commands on the...

EUVD-2026-16602

In its design for automatic terminal command execution, AI Code offers two options: Execute safe commands and execute all commands. The description for the former states that commands determined by the model to be safe will be automatically executed, whereas if the model judges a command to be...

CVE-2026-30304

In its design for automatic terminal command execution, AI Code offers two options: Execute safe commands and execute all commands. The description for the former states that commands determined by the model to be safe will be automatically executed, whereas if the model judges a command to be...

BIT-DISCOURSE-2026-27740 Discourse has Stored XSS in AI Triage Automation

Discourse is an open-source discussion platform. Versions prior to 2026.3.0, 2026.2.1, and 2026.1.2 have a cross-site scripting vulnerability that arises because the system trusts the raw output from an AI Large Language Model LLM and renders it using htmlSafe in the Review Queue interface withou...

PT-2026-28397

Name of the Vulnerable Software and Affected Versions AI Code affected versions not specified Description The software’s design, which includes options for executing safe and all commands, is susceptible to prompt injection attacks. The system is intended to automatically execute commands deemed...

CVE-2026-30304

In its design for automatic terminal command execution, AI Code offers two options: Execute safe commands and execute all commands. The description for the former states that commands determined by the model to be safe will be automatically executed, whereas if the model judges a command to be...

CVE-2026-30304: Improper Input Validation

In its design for automatic terminal command execution, AI Code offers two options: Execute safe commands and execute all commands. The description for the former states that commands determined by the model to be safe will be automatically executed, whereas if the model judges a command to be...

PT-2026-28599

Name of the Vulnerable Software and Affected Versions LangChain versions prior to 1.2.22 Description Multiple functions within langchain core.prompts.loading read files from paths embedded in deserialized configuration dictionaries without validating against absolute path injection or directory...

PT-2026-28507

Name of the Vulnerable Software and Affected Versions nanobot versions prior to 0.1.6 Description An indirect prompt injection exists in the email channel processing module nanobot/channels/email.py. This allows a remote, unauthenticated attacker to execute arbitrary Large Language Model LLM...

AI Code 安全漏洞

AI Code is a code programming assistant developed by TianGuaDuiZhang. AI Code has a security vulnerability, which stems from the design of automatic terminal command execution, making it susceptible to prompt injection attacks, potentially allowing arbitrary command execution...

CVE-2026-30304

In its design for automatic terminal command execution, AI Code offers two options: Execute safe commands and execute all commands. The description for the former states that commands determined by the model to be safe will be automatically executed, whereas if the model judges a command to be...