Vulnerabilities

Icinga 2 is an open source monitoring system. From 2.8 until 2.14.9, 2.15.4, and 2.16.2, certificate update JSON-RPC message handling does not validate that the sender is a trusted endpoint. An unauthenticated network attacker able to connect to TCP port 5665 can replace the node certificate and trusted CA certificate, impersonate a trusted node, and take control of the node. This issue is fixed in versions 2.14.9, 2.15.4, and 2.16.2.

Icinga 2 is an open source monitoring system. Prior to 2.14.9, 2.15.4, and 2.16.2, parsing deeply nested JSON can exhaust the call stack because nesting depth is not bounded. The affected JSON parsing paths are reachable by unauthenticated network clients through the Icinga 2 service on TCP port 5665, allowing a remote attacker to crash the process, while possible code execution has not been demonstrated. This issue is fixed in versions 2.14.9, 2.15.4, and 2.16.2.

Mnemosyne is a memory layer for artificial intelligence agents. Prior to v3.10.1, the auth check in mnemosyne/core/sync_server.py parsed the JWT's header and payload using base64 decoding, then passed the token to a jwt library call with options that effectively disabled signature verification. The server accepted any well-formed token regardless of the signature, including tokens with alg: none and tokens signed with the wrong key. The fix in v3.10.1 replaces the broken decode with a from-scratch HS256 verifier using only the Python standard library. For users who cannot upgrade immediately, restrict network access to the sync server endpoint to trusted clients only. Firewall, reverse proxy with mTLS, or localhost bind with SSH tunnel are all viable. The vulnerability is not exploitable against an unreachable endpoint.

Parseable is a log analytics platform built for high-volume data ingestion and analysis. Prior to 3.0.0, src/handlers/http/middleware.rs uses unwrap() while parsing the x-amz-firehose-common-attributes header before authentication. A remote unauthenticated attacker can supply non-UTF-8 header data, malformed JSON, or invalid derived header values that trigger a Rust panic and interrupt request handling, allowing repeated requests to deny service or cause container restart loops. This issue is fixed in version 3.0.0.

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions 012.1 through 0.12.2 contain a code injection vulnerability in `lmdeploy/pytorch/config.py` line 620 that allows an attacker to execute arbitrary Python code by publishing a malicious HuggingFace model with a crafted `quantization_config.quant_dtype` value. When a user loads the model with lmdeploy, the `quant_dtype` is passed to `eval(f'torch.{quant_dtype}')` without any validation. Version 0.12.3 contains a patch.

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Starting in version 0.9.2 and prior to version 0.16.0, LMDeploy's PyTorch DistServe/PD-disaggregation control plane used `recv_pyobj()` to deserialize messages received through a ZeroMQ PULL socket. PyZMQ implements `recv_pyobj()` using Python pickle deserialization, which can execute arbitrary code while reconstructing an object. The peer address used by the receiver was supplied through the `POST /distserve/p2p_connect` HTTP endpoint. An attacker who could reach an affected DistServe API server could cause the server to connect to an attacker-controlled ZeroMQ endpoint and deserialize a crafted pickle payload. API-key authentication is not enabled unless the operator explicitly configures it. As a result, affected DistServe deployments without API keys allowed unauthenticated remote code execution with the privileges of the LMDeploy serving process. This issue affects the PyTorch backend when PD-disaggregation/DistServe is enabled. Ordinary deployments that do not use the affected disaggregated-serving path do not expose this data flow. The fix was released in LMDeploy 0.16.0. Users who cannot upgrade immediately should prevent untrusted clients from reaching `/distserve/*` endpoints, restrict the DistServe HTTP and ZeroMQ control planes to trusted cluster networks, configure API-key authentication, and block arbitrary outbound ZeroMQ connections from serving nodes. These measures reduce exposure but do not make pickle deserialization safe.

Mongoid contains an unsafe reflection weakness in the document persistence layer of its object-document mapping code. Input whose keys are passed through from an unauthenticated party by an embedding application can cause unintended internal method invocation instead of the intended array field update. This may result in unintended removal of stored records and in the embedding application becoming unresponsive.

An insecure direct object reference in the nested attributes handling of the Mongoid object-document mapper may allow a user with basic application privileges to reference a record identifier that is not their own. Processing such a request can cause that record to be looked up without the usual ownership or scoping restrictions, then updated and linked to the requesting user's own record. This may result in unintended disclosure and unauthorized modification of data belonging to other users of the application.

A vulnerability was identified in Forget-C Jellyfish AI Short Drama Studio 0.1.0-alpha/0.2.0/0.3.0/0.3.1/0.3.2. This affects an unknown function of the file backend/app/dependencies.py of the component FastAPI. The manipulation leads to missing authentication. It is possible to initiate the attack remotely. The reported GitHub issue was closed automatically due to inactivity.

A vulnerability was determined in spatie Scotty up to 1.4.4. This impacts the function DoctorCommand::checkSshConnectivity/DoctorCommand::checkRemoteTools of the file app/Commands/DoctorCommand.php of the component Doctor Command Handler. This manipulation of the argument host causes os command injection. It is possible to initiate the attack remotely. The pull request to fix this issue awaits acceptance.

A flaw was found in Netty's HTTP/2 stack. This vulnerability allows a remote attacker to inject prohibited characters, such as NUL, Line Feed, and Carriage Return, into HTTP/2 header field values due to insufficient validation. When these values cross an HTTP/2 to HTTP/1.1 translation boundary, they can be exploited for request smuggling, header injection, or response splitting. This could lead to unauthorized access, data manipulation, or other security bypasses.

Grandstream GWN7660ELR before firmware version 1.0.27.6 contains an information disclosure vulnerability that allows unauthenticated remote attackers to obtain sensitive system information by querying the SNMP v2c service configured with the default community string 'public'. Attackers can query standard MIBs over the SNMP port to retrieve operating system and kernel version, running process names and command-line arguments, network interface configuration, routing table entries, ARP table mappings, active TCP connection details, and file system paths, enabling detailed reconnaissance of the device and adjacent network infrastructure.