1615 matches found
CVE-2026-55607
CVE-2026-55607 affects Claude Code 2.1.38–2.1.163; worktree handling allowed creation of ".git" worktrees and navigation outside the sandbox, enabling git directory confusion. Exploit via symlink manipulation and git fsmonitor during worktree operations could overwrite home-dir files (e.g., .zshe...
PYSEC-2026-303 CAI find_file Agent Tool has Command Injection Vulnerability Through Argument Injection
Summary The CAI Cybersecurity AI framework contains multiple argument injection vulnerabilities in its function tools. User-controlled input is passed directly to shell commands via subprocess.Popen with shell=True, allowing attackers to execute arbitrary commands on the host system. Vulnerable...
PYSEC-2026-382 Langroid has Prompt to SQL Injection, Leading to RCE
Security Vulnerability Report: Prompt to SQL Injection leading to RCE in latest Langroid Affected Scope langroid @localhost:5432/postgres" Create SQL Chat Agent config = SQLChatAgentConfig databaseuri=DATABASEURI, llm=OpenAIGPTConfig apibase=os.getenv...
PraisonAIAgents has an OS Command Injection via shell=True in Memory Hooks Executor (memory/hooks.py)
SummaryThe memory hooks executor in praisonaiagents passes a user-controlled command stringdirectly to subprocess.run with shell=True atsrc/praisonai-agents/praisonaiagents/memory/hooks.py lines 303 to 305.No sanitization, no shlex.quote, no character filter, and no allowlist checkexists anywhere...
Langchain SQL Injection vulnerability
In Langchain before 0.0.247, prompt injection allows execution of arbitrary code against the SQL service provided by the chain...
PYSEC-2026-372 Langchain SQL Injection vulnerability
In Langchain before 0.0.247, prompt injection allows execution of arbitrary code against the SQL service provided by the chain...
vanna vulnerable to remote code execution caused by prompt injection
In the latest version of vanna-ai/vanna, the vanna.ask function is vulnerable to remote code execution due to prompt injection. The root cause is the lack of a sandbox when executing LLM-generated code, allowing an attacker to manipulate the code executed by the exec function in...
PYSEC-2026-562 vanna vulnerable to remote code execution caused by prompt injection
In the latest version of vanna-ai/vanna, the vanna.ask function is vulnerable to remote code execution due to prompt injection. The root cause is the lack of a sandbox when executing LLM-generated code, allowing an attacker to manipulate the code executed by the exec function in...
PYSEC-2026-561 Vanna prompt injection code execution
The Vanna library uses a prompt function to present the user with visualized results, it is possible to alter the prompt using prompt injection and run arbitrary Python code instead of the intended visualization code. Specifically - allowing external input to the library’s “ask” method with...
Vanna prompt injection code execution
The Vanna library uses a prompt function to present the user with visualized results, it is possible to alter the prompt using prompt injection and run arbitrary Python code instead of the intended visualization code. Specifically - allowing external input to the library’s “ask” method with...
llama-index-core Prompt Injection vulnerability leading to Arbitrary Code Execution
A vulnerability was identified in the executils class of the llamaindex package, specifically within the safeeval function, allowing for prompt injection leading to arbitrary code execution. This issue arises due to insufficient validation of input, which can be exploited to bypass method...
PYSEC-2026-397 llama-index-core Prompt Injection vulnerability leading to Arbitrary Code Execution
A vulnerability was identified in the executils class of the llamaindex package, specifically within the safeeval function, allowing for prompt injection leading to arbitrary code execution. This issue arises due to insufficient validation of input, which can be exploited to bypass method...
PYSEC-2026-448 PandasAI interactive prompt function Remote Code Execution (RCE)
PandasAI uses an interactive prompt function that is vulnerable to prompt injection and run arbitrary Python code that can lead to Remote Code Execution RCE instead of the intended explanation of the natural language processing by the LLM. The security controls of PandasAI 2.4.3 and earlier fail ...
PandasAI interactive prompt function Remote Code Execution (RCE)
PandasAI uses an interactive prompt function that is vulnerable to prompt injection and run arbitrary Python code that can lead to Remote Code Execution RCE instead of the intended explanation of the natural language processing by the LLM. The security controls of PandasAI 2.4.3 and earlier fail ...
PT-2026-53460
In Langchain before 0.0.247, prompt injection allows execution of arbitrary code against the SQL service provided by the chain...
PT-2026-53398
Summary The CAI Cybersecurity AI framework contains multiple argument injection vulnerabilities in its function tools. User-controlled input is passed directly to shell commands via subprocess.Popen with shell=True, allowing attackers to execute arbitrary commands on the host system. Vulnerable...
PT-2026-53631
In the latest version of vanna-ai/vanna, the vanna.ask function is vulnerable to remote code execution due to prompt injection. The root cause is the lack of a sandbox when executing LLM-generated code, allowing an attacker to manipulate the code executed by the exec function in...
PT-2026-53529
PandasAI uses an interactive prompt function that is vulnerable to prompt injection and run arbitrary Python code that can lead to Remote Code Execution RCE instead of the intended explanation of the natural language processing by the LLM. The security controls of PandasAI 2.4.3 and earlier fail ...
PT-2026-53562
Summary The memory hooks executor in praisonaiagents passes a user-controlled command string directly to subprocess.run with shell=True at src/praisonai-agents/praisonaiagents/memory/hooks.py lines 303 to 305. No sanitization, no shlex.quote, no character filter, and no allowlist check exists...
PT-2026-53630
The Vanna library uses a prompt function to present the user with visualized results, it is possible to alter the prompt using prompt injection and run arbitrary Python code instead of the intended visualization code. Specifically - allowing external input to the library’s “ask” method with...