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Archivo de vulnerabilidades 737
Restablecer filtrosMCP Atlassian: SSRF Protection Bypass
MCP Atlassian: HTTP upload tools accept arbitrary server-local file paths
MCP Atlassian: Reflected XSS in OAuth Setup Callback Handler
MCP Atlassian: Arbitrary File Read & Exfiltration (Confused Deputy) in JIRA update_issue
MCP Atlassian: MCP HTTP Client Server-Local File Exfiltration via Unvalidated Attachment Upload Path
Soup Sieve: Polynomial-time ReDoS (O(n²)) in the `IDENTIFIER` / `VALUE` selector sub-patterns
Soup Sieve: Polynomial-time ReDoS (O(n²)) in the whitespace/comment trimming regex `RE_WS_END` (triggers on VALID selectors)
LMDeploy has Remote Code Execution by Pickle Deserialization via handle_zmq_recv in lmdeploy/lmdeploy/pytorch/disagg/conn/engine_conn.py
Mnemosyne has JWT signature verification bypass sync server that allows authentication bypass
sanic chunked trailer request smuggling allows hidden second request execution
LMdeploy has Remote Code Execution by Pickle Deserialization via zmq_rpc.call_and_response() in InterLM/lmdeploy
Open WebUI: Inaccessible knowledge bases are exposed through the built-in knowledge tool on most vector backends
PickleScan has multiple stdlib modules with direct RCE not in blocklist
Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran.myeval
Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper
Picklescan missing detection when calling built-in python library function timeit.timeit()
Picklescan has a missing detection when calling built-in python idlelib.autocomplete.AutoComplete.fetch_completions
Picklescan has a missing detection when calling built-in python profile.Profile.runctx
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
Tornado: Unbounded query-string argument count allows event-loop-stalling DoS
tornado: CurlAsyncHTTPClient enforces no response-size limit — decompression bomb drives unbounded memory accumulation to OOM
MONAI: Unsafe deserialization in NumpyReader allows arbitrary code execution via malicious .npy files
vLLM through 0.29.0 fetches and fully materializes remote or inline media before enforcing its documented media controls (the VLLM_MAX_AUDIO_CLIP_FILESIZE_MB compressed-audio size cap, default 25 MB,
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