
Flock Safety
We are the first public safety operating system empowering thousands of cities to eliminate crime. Our cameras and devices detect objective evidence, decode it with machine learning, and deliver it into the hands that stop crime.



We are the first public safety operating system empowering thousands of cities to eliminate crime. Our cameras and devices detect objective evidence, decode it with machine learning, and deliver it into the hands that stop crime.

Neutral, independent third party For more than 150 years, TÜV Rheinland has stood for ensuring quality, safety, and efficiency in conjunction with people, the environment, and technology. As a neutral, independent third party, we test, accompany, develop, promote and certify products, plants, processes and management systems as well as services based on legal requirements and other relevant performance benchmarks and standards. In addition, TÜV Rheinland qualifies specialists and trains people for numerous companies and areas of business and life. Using knowledge meaningfully Our greatest capital is based on over 20,000 clever minds: concentrated knowledge. It is our enormous pool of experience from which the people at TÜV Rheinland create exceptional substance and inspiration for their meaningful work. The results of their work can be discovered everywhere: in tested elevators or rides, on certified toys or technical equipment, in our advice or training. No matter where - our international teams have been setting standards in terms of safety, quality and efficiency for many years.
Security & Compliance Standards Overview












Flock Safety has 0.0% fewer incidents than the average of same-industry companies with at least one recorded incident.
No incidents recorded for TÜV Rheinland Group in 2025.
Flock Safety cyber incidents detection timeline including parent company and subsidiaries
TÜV Rheinland Group cyber incidents detection timeline including parent company and subsidiaries
Last 3 Security & Risk Events by Company
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.11.1, vllm has a critical remote code execution vector in a config class named Nemotron_Nano_VL_Config. When vllm loads a model config that contains an auto_map entry, the config class resolves that mapping with get_class_from_dynamic_module(...) and immediately instantiates the returned class. This fetches and executes Python from the remote repository referenced in the auto_map string. Crucially, this happens even when the caller explicitly sets trust_remote_code=False in vllm.transformers_utils.config.get_config. In practice, an attacker can publish a benign-looking frontend repo whose config.json points via auto_map to a separate malicious backend repo; loading the frontend will silently run the backend’s code on the victim host. This vulnerability is fixed in 0.11.1.
fastify-reply-from is a Fastify plugin to forward the current HTTP request to another server. Prior to 12.5.0, by crafting a malicious URL, an attacker could access routes that are not allowed, even though the reply.from is defined for specific routes in @fastify/reply-from. This vulnerability is fixed in 12.5.0.
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to 21.0.2, 20.3.15, and 19.2.17, A Stored Cross-Site Scripting (XSS) vulnerability has been identified in the Angular Template Compiler. It occurs because the compiler's internal security schema is incomplete, allowing attackers to bypass Angular's built-in security sanitization. Specifically, the schema fails to classify certain URL-holding attributes (e.g., those that could contain javascript: URLs) as requiring strict URL security, enabling the injection of malicious scripts. This vulnerability is fixed in 21.0.2, 20.3.15, and 19.2.17.
Gin-vue-admin is a backstage management system based on vue and gin. In 2.8.6 and earlier, attackers can delete any file on the server at will, causing damage or unavailability of server resources. Attackers can control the 'FileMd5' parameter to delete any file and folder.
Portkey.ai Gateway is a blazing fast AI Gateway with integrated guardrails. Prior to 1.14.0, the gateway determined the destination baseURL by prioritizing the value in the x-portkey-custom-host request header. The proxy route then appends the client-specified path to perform an external fetch. This can be maliciously used by users for SSRF attacks. This vulnerability is fixed in 1.14.0.