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SniffDog is a Python command-line tool its author built to inspect a coding-assignment repository before you install dependencies, open it in an editor, or run it. It looks for suspicious patterns and reports a SAFE, CAUTION, or DANGER verdict, but a SAFE result is not proof that a repository is harmless. For a take-home test, inspect first and use an isolated, non-persistent environment when possible.
Why a take-home assignment can be a security risk
A repository presented as a coding test can also be a way to persuade a developer to run malicious code. Microsoft Security says its researchers observed the Contagious Interview campaign active since at least December 2022. In the campaign, attackers use fake recruitment processes to convince developers to execute malicious packages or commands under the guise of evaluation tasks. Microsoft also describes attackers abusing Visual Studio Code task configurations after a victim trusts a repository. Microsoft’s campaign analysis and guidance describe the risk; they do not establish that ordinary take-home assignments or recruiters are generally malicious.
A separate case analyzed by Elastic Security Labs shows why setup commands and project assets merit attention. In a July 18, 2026 report, Elastic described a fake job posting and coding challenge in which payload fragments were hidden in SVG flag assets, then assembled and executed by project code when the server started. That is one documented technique, not a reason to treat every SVG or coding challenge as malicious. Read Elastic Security Labs’ analysis.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteWhat SniffDog does
According to its author, Anand Prakash Srivastava, SniffDog is a Python CLI that reads a repository without executing its code. Its deterministic static checks produce the SAFE, CAUTION, or DANGER verdict. A local Gemma model can read selected snippets to explain findings, but it cannot downgrade the verdict. The author says findings point to file locations and are explained in plain language. These are the project author’s descriptions, not results from an independent evaluation. Read the author’s project article on DEV Community.
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The checks described by the author cover several places suspicious behavior might hide:
- Package scripts and dependencies: setup or install scripts, suspicious registry configuration, and dependency clues such as typosquatted package names.
- Editor automation: VS Code tasks, including tasks configured to run when a folder opens.
- Obfuscated code and payloads: encoded or otherwise obscured content that may be used to conceal commands or code.
- Assets: files that look like ordinary fonts or images but may contain hidden code or payloads.
- Network indicators: examples include URLs that point directly to raw IP addresses.
The point of scanning before setup is to look for clues without triggering the project’s scripts, dependencies, editor tasks, or startup behavior. A static scan can surface suspicious patterns, but it cannot establish that every file or behavior is safe.
How to use a scan result
DANGER
Treat this as a reason to stop and investigate, not as a complete explanation of what the repository will do. Check the flagged file and location, and do not run the project while you do not understand the finding. If the assignment is legitimate, ask the recruiter or hiring contact to explain the specific script, task, dependency, or asset.
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CAUTION
Review each finding in context. A pattern can be suspicious without being malicious, and the author’s description does not establish SniffDog’s false-positive rate. Do not dismiss a finding merely because the project appears to work normally or the code is unfamiliar.
SAFE
Read this as “the described checks did not raise a warning,” not “the repository is verified safe.” SniffDog’s author calls it a first look, not an antivirus, and notes that new techniques may evade its pattern checks. A SAFE verdict does not guarantee a repository is safe.
A safer workflow for an unfamiliar coding test
- Keep the repository inert initially. Do not install dependencies, run scripts, execute tasks, or start the application just to see whether it works.
- Review it before execution. Microsoft Defender Experts and the Microsoft Defender Security Research Team state: “Establish a policy that requires review of any recruiter-provided repository before running scripts, installing dependencies, or executing tasks.”
- Use a static scan as one input. A tool such as SniffDog may help direct attention to package scripts, editor tasks, suspicious assets, obfuscation, and dependency clues, but review the findings and remember that a clean scan is not a safety guarantee.
- Use an isolated, non-persistent environment when possible. Microsoft recommends a dedicated isolated, non-persistent environment for coding tests. This can limit exposure if a project is malicious; it does not make running unknown code risk-free.
- Ask for clarification or decline to run anything you cannot assess. A hiring exercise does not require you to ignore security concerns. Ask the contact to explain suspicious setup requirements through a trusted channel.
How SniffDog differs from package-focused scanners
The project author names Socket and Datadog GuardDog as adjacent tools that go deeper on npm packages. The distinction below reflects the author’s description, not an independently tested head-to-head comparison.
| Approach | Scope described | Execution and limits |
|---|---|---|
| SniffDog | Whole assignment repository, including editor tasks and disguised assets, as well as package and dependency clues | Author says it reads code without executing it; deterministic checks decide the verdict, while the local model explains selected findings. Pattern checks can miss new tricks, and SAFE is not proof. |
| Socket or Datadog GuardDog | Deeper inspection of npm packages, according to the SniffDog author | The cited project article does not establish their full execution model, offline capability, false-positive rates, or comparative coverage. |
A repository-wide scan and a package-focused scan address different scopes. Neither description supports treating a tool as a substitute for reviewing the project or using an isolated environment.
What the reported demonstrations establish
SniffDog’s author says a harmless demo triggered 13 findings and reports scanning several other sample repositories. The project article does not provide an independent benchmark or establish detection rates, false-positive rates, or coverage across real-world malicious repositories. Those examples illustrate how the author’s checks behave; they do not show that SniffDog catches all malware or that a clean result proves safety.
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