| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A security vulnerability has been detected in OctoPrint 1.0.0/1.1.0. Affected is an unknown function of the component Flask Secret Key Handler. Such manipulation leads to use of hard-coded cryptographic key
. The attack may be performed from remote. Upgrading to version 1.11.1 is able to address this issue. The name of the patch is b4699825d6ab92d5451e5b1e3a06dfb81f86e777. The affected component should be upgraded. |
| A NULL pointer dereference in the gf_ac4_presentation_ch_mode function (/media_tools/av_parsers.c) of GPAC Project/MP4Box before 2.5 allows attackers to cause a Denial of Service (DoS) via supplying a crafted AC4 file. |
| qiujie mall-server 0.0.1-SNAPSHOT contains an integer overflow in CartServiceImpl that allows an authenticated user to wrap a cart quantity to a negative value. The order creation flow does not validate the resulting quantity and passes it to the stock update query, increasing inventory and creating negative-value orders. |
| Arm Keil MDK-Middleware 8.3.0 may allow out-of-bounds reads and writes to the FTP Server RX Buffer |
| Arm Keil MDK-Middleware 8.0.0-8.3.0 may allow DHCPv6 Option-Walk Over-Reads and Unintended Data Retransmission |
| Burrito is a Terraform Automation Collaboration Software (TACoS) Kubernetes operator. Prior to 0.13.0, `POST /api/webhook` accepts unsigned GitHub and GitLab events when a `TerraformRepository`'s credentials omit `webhookSecret` or set it to an empty value, including credentials configured for git authentication and polling. `Credential.WebhookSecret` is optional, and `go-playground/webhooks` skips signature or token verification when the secret is empty. Anyone who can reach `burrito-server`'s endpoint and knows a tracked repository's URL can forge events to create or delete `TerraformPullRequest` custom resources with attacker-chosen `Branch`, `Base`, and `ID` fields. For GitHub `pull_request` events, the controller fetches changed files using the real pull request number but does not cross-check the payload's branch against that pull request. Pairing a real, existing pull request number with an unrelated existing branch in the same repository can therefore cause an unauthorized `terraform plan` for affected layers using the operator's stored git and cloud credentials. Code analysis also indicates that the resulting plan can be posted to the real pull request's comment thread, exposing and misattributing another branch's infrastructure changes. Auto-apply is disabled for these temporary layers, so this vulnerability alone cannot force a `terraform apply`; plan-time provider and data-source code execution depends on the selected branch's contents. This issue is fixed in version 0.13.0. |
| vLLM is an inference and serving engine for large language models. Prior to 0.32.0, the OpenAI-compatible server configures Starlette CORSMiddleware with allowed_origins set to a wildcard by default. A malicious web page can use a victim's browser to reach an unauthenticated vLLM server on localhost, an internal network, or a VPN, call endpoints including GET /v1/models and POST /v1/chat/completions, consume GPU resources, and read responses. Cookie-based cross-site request forgery does not apply because credentials are disabled by default, and deployments requiring bearer authentication are exposed only when the caller already has a usable token. This issue is fixed in version 0.32.0. |
| vLLM is an inference and serving engine for large language models. From 0.16.0 until 0.32.0, the /v1/responses endpoint allows an authenticated caller to place an attacker-controlled template in chat_template_kwargs[chat_template] when no server template is configured. ChatParams.get_apply_chat_template_kwargs() preserves that value without enforcing trust_request_chat_template, so the request can bypass the intended trust policy and cause CPU or memory exhaustion through Jinja rendering. This issue is fixed in version 0.32.0. |
| vLLM is an inference and serving engine for large language models. Prior to 0.32.0, an authenticated caller can place forged shared-memory address and monotonic_id values in public multimodal features.kwargs_data. In scale-out deployments with shared-memory multimodal caching enabled, workers trust those values and pass attacker-selected bytes to pickle.loads(), allowing arbitrary Python execution even when insecure serialization is disabled. This issue is fixed in version 0.32.0. |
| Routinator runs out of memory when the JSON output is requested many times concurrently. This condition can be triggered maliciously by an attacker by opening a large number of connections to the HTTP server. Additionally Routinator runs into a stack overflow and exits when a payload item with too much metadata is discarded at once.
This only affects users that make their HTTP or RTR server available to untrusted networks. |
| When Routinator encounters an RRDP notification file with gaps in the delta entries, it is still accepted and parsed, potentially leading to missing data. If it encounters too many delta entries it may run out of memory. |
| When Routinator encounters a CRL with many entries, it may hang or run out of memory. If Routinator encounters a CRL file with the wrong encoding, it may exit. |
| Routinator stores a newly-retrieved TA certificate via HTTPS in cache without validation, potentially overwriting a known good TA certificate even if validation fails. |
| When parsing an AS range in Routinator, if the maximum value of the range is smaller than the minimum value of the range, Routinator will never reach the maximum value and run out of memory. |
| Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verifying that the first input has rank three. The function accesses dim(0) and dim(1) on an undersized protobuf shape, which can read outside the intended repeated field and terminate an application when onnx.shape_inference.infer_shapes() processes an untrusted model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0. |
| Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.4.0 until 1.22.0, ScanInferenceFunction, ScanInferenceFunction_opset8, and ScanInferenceFunction_opset9 do not safely validate the required num_scan_inputs attribute. A missing attribute is dereferenced as a null pointer, while a negative value is converted to size_t and can reach an exceptional oversized allocation path. An untrusted model can therefore terminate or disrupt shape inference, including a negative-value model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0. |
| Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, _unpack_2bit() and _unpack_4bit() resize unpacked arrays according to attacker-controlled TensorProto.dims without verifying that raw_data or int32_data encodes the declared number of elements. Materializing an untrusted UINT2, INT2, UINT4, INT4, or FLOAT4E2M1 tensor through onnx.numpy_helper.to_array() or onnx.reference.ReferenceEvaluator can therefore expand a small packed payload into a disproportionately large allocation and exhaust memory. This issue is fixed in version 1.22.0. |
| OS command injection in the root-privileged 'hardware_monitor' helper in DJI CrystalSky ZS600C firmware v0.3.9.7 through v0.6.6.9 on Android allows a local unprivileged process to execute arbitrary commands as root by writing a crafted line to the Android log (logcat), which the helper reads and passes to a shell eval. |
| Missing authorization in the system-privileged 'DJIUpdateService' binder in DJI CrystalSky ZS600C firmware v0.3.9.7 through v0.6.6.9 on Android allows a local application with no permissions to invoke privileged operations, including factory reset with user-data wipe (transaction 153), shutdown (105), clock/timezone change (101/123), and the firmware-apply hand-off (151), because onTransact() performs no caller-identity or permission check. |
| Entire CLI hooks into Git workflows to capture AI agent sessions. Prior to version 0.7.7, a path traversal vulnerability in Entire CLI allows an attacker with push access to the checkpoints repository to craft malicious checkpoint metadata that causes entire session resume or entire checkpoint rewind to write attacker-controlled transcript data outside of the expected session directory. The issue occurs because checkpoint metadata is fetched from the remote entire/checkpoints/v1 branch and the SessionID field was used to construct filesystem paths without validation in the restore path. A malicious SessionID containing absolute paths or path traversal sequences could cause arbitrary files on the victim’s machine to be overwritten. This issue has been patched in version 0.7.7. |
