Security Operations · Security Analyst

AI Agent for File Hash Reputation Check

Monitor hash submissions from HTTP or Slack, validate input, query VirusTotal, derive a verdict, and notify with a structured JSON response.

How it works
1 Step
Receive hash and normalize
2 Step
Validate hash format
3 Step
Query VirusTotal and respond
Hash submissions arrive via HTTP POST or Slack, then are lowercased and trimmed.

Overview

End-to-end hash reputation automation.

The AI agent accepts file hashes via HTTP POST or Slack slash command and validates format (MD5, SHA1, SHA256). It queries VirusTotal for reputation data, computes a verdict (Malicious, Suspicious, Clean, Unknown), and formats results. Results are returned as a structured JSON response and posted to Slack with severity-based formatting for quick analyst action.


Capabilities

What File Hash Reputation Check AI Agent does

End-to-end actions from intake to alert.

01

Normalize input hash (lowercase and trim).

02

Validate hash format (MD5, SHA1, or SHA256).

03

Query VirusTotal for reputation data.

04

Analyze detection statistics to derive a verdict (Malicious, Suspicious, Clean, Unknown).

05

Post Slack alerts with severity-based formatting for all verdicts.

06

Return a structured JSON response to the requester.

Why you should use AI Agent for File Hash Reputation Check

Automates input handling, VT lookup, and verdict reporting to reduce manual triage and ensure consistent results.

Before
Manual hash validation is error-prone and slow.
Analyst verdicts vary, causing inconsistent triage.
Slack alerts lack structured, actionable data.
JSON responses require extra parsing by downstream systems.
Visibility into hash reputations across teams is fragmented.
After
Automated input validation and normalization ensure consistency.
VirusTotal data yields clear verdicts: Malicious, Suspicious, Clean, Unknown.
Slack alerts are formatted with severity-aware visuals for quick triage.
Requester receives a precise JSON payload for automation.
Hash reputation checks scale across teams and pipelines.
Process

How it works

A simple, three-step process.

Step 01

Receive hash and normalize

Hash submissions arrive via HTTP POST or Slack, then are lowercased and trimmed.

Step 02

Validate hash format

Confirm the hash is MD5, SHA1, or SHA256 and reject invalid formats.

Step 03

Query VirusTotal and respond

Fetch reputation data from VirusTotal, compute the verdict, post Slack alerts, and return a JSON response.


Example

Example workflow

A realistic hash-check scenario from intake to action.

A SOC analyst submits a SHA256 hash via Slack using /hash-check. The AI agent normalizes and validates the hash, queries VirusTotal for reputation data, and returns a verdict within seconds. If the verdict is Malicious, a Slack alert is posted with severity formatting, and the requester receives a structured JSON response with hash details and VT stats.

SecOps VirusTotalSlack AI Agent flow

Audience

Who can benefit

Roles that gain faster, clearer hash verdicts.

✍️ SOC Analyst

Receives immediate, actionable verdicts for quick triage.

💼 Security Engineer

Validates hash reputations within automation pipelines and SIEM feeds.

🧠 Incident Responder

Automates evidence collection and reporting for cases.

Threat Intel Team

Correlates VT results with indicators of compromise.

🎯 MSSP Analyst

Delivers consistent hash checks across client environments.

📋 Automation Engineer

Embeds the agent into security checks and orchestration.

Integrations

Tools involved and what the AI agent does inside them.

VirusTotal

Queries hash reputation data and returns detections to compute verdict.

Slack

Posts formatted alerts and returns JSON payloads to Slack slash command.

Applications

Best use cases

Common scenarios where the AI agent adds value.

SOC incident triage with hash-based IOC checks.
Automating hash reputation checks in CI/CD security gates.
Slack-based analyst self-service hash checks.
SIEM enrichment with dynamic hash reputation data.
MSSP client hash monitoring and reporting.
Threat intel correlation with file hashes and VT results.

FAQ

FAQ

Practical answers to common concerns.

The AI agent validates MD5, SHA1, and SHA256 inputs. It normalizes whitespace and casing to ensure consistent lookups. If a hash does not match the supported formats, it returns an error in the JSON response and Slack message. For multi-hash requests, you can extend the workflow to loop over inputs, but the current variant handles one hash per invocation.

Verdict derives from VirusTotal detection data such as total detections, vendor consensus, and recent verdicts. The AI agent maps these signals to a defined set: Malicious, Suspicious, Clean, or Unknown. It uses deterministic thresholds to avoid ambiguous results. If data is insufficient, the verdict defaults to Unknown and triggers a neutral Slack notification.

The baseline design processes a single hash per invocation. It can be extended to batch process but requires orchestration changes. The Slack command and webhook would need to support multiple values and return aggregated results. This keeps responses predictable and simple.

If VirusTotal cannot be reached, the AI agent returns a structured JSON error and posts a Slack alert noting the outage. It may retry or fallback to a cached or partial result if data exists. Downstream systems can still parse the error payload to trigger alerting pipelines.

Slack messages use severity-based formatting (color and blocks) to highlight Malicious results. The message includes hash, VT verdict, detection counts, and a link to VirusTotal. Alerts are posted for all verdicts to ensure visibility, with Malicious attacks prominently marked.

The agent transmits data to VirusTotal over secured channels and stores minimal data locally. Access to API keys is restricted and rotated regularly. The JSON responses expose only necessary verdict data to requesting systems, reducing data leakage risk.

Configure VirusTotal API credentials and Slack app credentials in your automation platform. Use dedicated credentials stores and reference keys from the agent. Ensure scopes and permissions align with your security policy.


AI Agent for File Hash Reputation Check

Monitor hash submissions from HTTP or Slack, validate input, query VirusTotal, derive a verdict, and notify with a structured JSON response.

Use this template → Read the docs