Any.Run VS cppq

• Interactive Analysis
  Any.Run allows users to interact with the malware in real time, providing a hands-on approach to understand its behavior and effects.
• Comprehensive Reporting
  Generates detailed reports, including file system changes, network activity, and system modifications, giving a thorough insight into the malware’s operations.
• User-Friendly Interface
  The platform boasts a user-friendly interface that makes it accessible even to those who may not have extensive cybersecurity expertise.
• Collaboration Features
  Allows multiple users to collaborate on the same analysis, facilitating teamwork and shared insights.
• Cloud-Based
  Being a cloud-based service means that users do not need to install or maintain local infrastructure, making it easier to get started.

Possible disadvantages

• Cost
  The service can be expensive, especially for small organizations or individual users who may not have substantial budgets.
• Potential Lag
  As a cloud-based service, performance might be affected by network latency, leading to potential lag during interactive sessions.
• Privacy Concerns
  Storing sensitive data on a cloud platform may raise privacy and security concerns for some organizations.
• Requires Internet Connection
  Since it is a cloud-based service, users need a stable internet connection to access the platform, which can be a limitation in areas with poor connectivity.
• Learning Curve
  Despite its user-friendly interface, some users may still face a learning curve in understanding how to utilize all the features effectively.

• Lightweight C++ implementation
  cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
• Redis-backed reliability
  Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
• Inspired by proven design (asynq)
  The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
• Native integration for C++ projects
  For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
• Open source and inspectable
  Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

• Limited maturity and battle-testing
  Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
• Smaller community and ecosystem
  Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
• Documentation gaps
  As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
• C++ build and dependency complexity
  Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
• Fewer built-in features and tooling
  cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

EMOTET - Interactive Malware Analysis with ANY.RUN

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• How do i know something is a false positive?

  Https://app.any.run/ should be enough for most of the cases. If you have packed/encrypted sample (like EMP.dll from Empress), you can't do anything. Source: over 3 years ago

• TIFU By opening a phishing .htm file

  If you open it on https://app.any.run it will show you the outbound connections it makes. If you're responsible for such things, you could then block this on your web proxy/firewall/whatever. Source: over 3 years ago

• Where else do you lookup a hashfile that you know is malicious but virustotal, cisco, fortinet, all my devices say the file is clean?

  Hello! Try this https://app.any.run/. Source: over 3 years ago

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Tracking cppq since Nov 2022.