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GHSA-vgq7-9r5r-j9v3: Free5GC is vulnerable to DoS through its Npcf_BDTPolicyControl POST API

An issue was discovered in Free5GC v4.0.0 and v4.0.1 allowing an attacker to cause a denial of service via crafted POST request to the Npcf_BDTPolicyControl API.

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#vulnerability#dos#auth
GHSA-3j9f-7w24-pcqg: Free5GC is vulnerable to DoS via the Nudm_SubscriberDataManagement API

An issue was discovered in Free5GC v4.0.0 and v4.0.1 allowing an attacker to cause a denial of service via the Nudm_SubscriberDataManagement API.

New Fluent Bit Flaws Expose Cloud to RCE and Stealthy Infrastructure Intrusions

Cybersecurity researchers have discovered five vulnerabilities in Fluent Bit, an open-source and lightweight telemetry agent, that could be chained to compromise and take over cloud infrastructures. The security defects "allow attackers to bypass authentication, perform path traversal, achieve remote code execution, cause denial-of-service conditions, and manipulate tags," Oligo Security said in

⚡ Weekly Recap: Fortinet Exploit, Chrome 0-Day, BadIIS Malware, Record DDoS, SaaS Breach & More

This week saw a lot of new cyber trouble. Hackers hit Fortinet and Chrome with new 0-day bugs. They also broke into supply chains and SaaS tools. Many hid inside trusted apps, browser alerts, and software updates. Big firms like Microsoft, Salesforce, and Google had to react fast — stopping DDoS attacks, blocking bad links, and fixing live flaws. Reports also showed how fast fake news, AI

US Border Patrol Is Spying on Millions of American Drivers

Plus: The SEC lets SolarWinds off the hook, Microsoft stops a historic DDoS attack, and FBI documents reveal the agency spied on an immigration activist Signal group in New York City.

GHSA-69j4-grxj-j64p: vLLM vulnerable to DoS via large Chat Completion or Tokenization requests with specially crafted `chat_template_kwargs`

### Summary The /v1/chat/completions and /tokenize endpoints allow a `chat_template_kwargs` request parameter that is used in the code before it is properly validated against the chat template. With the right `chat_template_kwargs` parameters, it is possible to block processing of the API server for long periods of time, delaying all other requests ### Details In serving_engine.py, the chat_template_kwargs are unpacked into kwargs passed to chat_utils.py `apply_hf_chat_template` with no validation on the keys or values in that chat_template_kwargs dict. This means they can be used to override optional parameters in the `apply_hf_chat_template` method, such as `tokenize`, changing its default from False to True. https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/openai/serving_engine.py#L809-L814 https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/chat_utils.py#L1602-L1610 Both serving_...

GHSA-pmqf-x6x8-p7qw: vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs

### Summary Users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct `ndim` but incorrect `shape` (e.g. hidden dimension is wrong), regardless of whether the model is intended to support such inputs (as defined in the Supported Models page). The issue has existed ever since we added support for image embedding inputs, i.e. #6613 (released in v0.5.5) ### Details Using image embeddings as an example: - For models that support image embedding inputs, the engine crashes when scattering the embeddings to `inputs_embeds` (mismatched shape) - For models that don't support image embedding inputs, the engine crashes when validating the inputs inside `get_input_embeddings` (validation fails). This happens because we only validate `ndim` of the tensor, but not the full shape, in input processor (via `MultiModalDataParser`). ### Impact - Denial of service by crashing the engine ### Mitigation - Use API key to limit access to trusted us...

GHSA-mrw7-hf4f-83pf: vLLM deserialization vulnerability leading to DoS and potential RCE

### Summary A memory corruption vulnerability that leading to a crash (denial-of-service) and potentially remote code execution (RCE) exists in vLLM versions 0.10.2 and later, in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to_dense(). This memory corruption can crash vLLM and potentially lead to code execution on the server hosting vLLM. ### Details A vulnerability that can lead to RCE from the completions API endpoint exists in vllm, where due to missing checks when loading user-provided tensors, an out-of-bounds write can be triggered. This happens because the default behavior of `torch.load(tensor, weights_only=True)` since py...

GHSA-f786-75f3-74xj: OSV-SCALIBR has NULL Pointer Dereference

A bug in the filesystem traversal fallback path causes fs/diriterate/diriterate.go:Next() to overindex an empty slice when ReadDir returns nil for an empty directory, resulting in a panic (index out of range) and an application crash (denial of service) in OSV-SCALIBR.

ShadowRay 2.0 Exploits Unpatched Ray Flaw to Build Self-Spreading GPU Cryptomining Botnet

Oligo Security has warned of ongoing attacks exploiting a two-year-old security flaw in the Ray open-source artificial intelligence (AI) framework to turn infected clusters with NVIDIA GPUs into a self-replicating cryptocurrency mining botnet. The activity, codenamed ShadowRay 2.0, is an evolution of a prior wave that was observed between September 2023 and March 2024. The attack, at its core,