Build a vulnerability exception and risk acceptance tracking system with approval workflows, compensating controls documentation, and expiration management. Use when building a vulnerability exception and risk acceptance tracking system with.
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Build a vulnerability exception and risk acceptance tracking system with approval workflows, compensating controls documentation, and expiration management. Use when building a vulnerability exception and risk acceptance tracking system with.
A vulnerability exception tracking system manages cases where vulnerabilities cannot be remediated within SLA timelines. It provides structured workflows for requesting exceptions, documenting compensating controls, obtaining risk acceptance approvals, and automatically expiring exceptions when their validity period ends. This ensures organizations maintain visibility into accepted risks while complying with frameworks like PCI DSS, SOC 2, and NIST CSF.
"Build a vulnerability exception and risk acceptance tracking system with approva"
When deploying or configuring building vulnerability exception tracking system capabilities in your environment
When establishing security controls aligned to compliance requirements
When building or improving security architecture for this domain
When conducting security assessments that require this implementation
Prerequisites
Python 3.9+ with flask, sqlalchemy, requests, jinja2
PostgreSQL or SQLite database
Email/Slack integration for approval notifications
Vulnerability management platform API (DefectDojo, Qualys, Tenable)
Exception Request Workflow
Scope the task — define objectives, boundaries, and success criteria
Gather information — collect all necessary data and context before proceeding
Execute the core workflow — follow the domain-specific steps methodically
Validate results — verify outputs against expected outcomes or baselines
Document findings — record results, anomalies, and recommendations
Exception Categories
Category
Description
Max Duration
Approver Level
Remediation Delay
Patch available but deployment blocked
30 days
Team Lead + Security
No Fix Available
Vendor has not released a patch
90 days
Security Director
Business Critical
System cannot be patched without outage
60 days
VP Engineering + CISO
False Positive
Finding is not a real vulnerability
Permanent
Security Analyst
Compensating Control
Alternative mitigation in place
180 days
Security Architect
Required Fields for Exception Request
exception_schema = {
"cve_id": "CVE-2024-XXXX",
"finding_id": "unique-finding-reference",
"asset_hostname": "prod-db-01.corp.local",
"severity": "high",
"cvss_score": 8.1,
"category": "remediation_delay",
"justification": "Database upgrade required before patch can be applied",
"compensating_controls": [
"WAF rule blocking exploit pattern deployed",
"Network segmentation restricting access to trusted VLANs only",
"Enhanced monitoring via Splunk alert for exploitation indicators"
],
"requested_expiration": "2024-06-15",
"requestor_email": "dbadmin@company.com",
"approver_emails": ["security-lead@company.com", "ciso@company.com"],
"risk_rating": "medium",
}
Database Schema
CREATE TABLE vulnerability_exceptions (
id SERIAL PRIMARY KEY,
cve_id VARCHAR(20) NOT NULL,
finding_id VARCHAR(100) NOT NULL,
asset_hostname VARCHAR(255),
severity VARCHAR(20),
cvss_score DECIMAL(3,1),
category VARCHAR(50) NOT NULL,
justification TEXT NOT NULL,
compensating_controls TEXT,
status VARCHAR(20) DEFAULT'pending',
requested_by VARCHAR(255) NOT NULL,
approved_by VARCHAR(255),
requested_at TIMESTAMPDEFAULTCURRENT_TIMESTAMP,
approved_at TIMESTAMP,
expires_at TIMESTAMPNOT NULL,
expired BOOLEANDEFAULTFALSE,
risk_rating VARCHAR(20),
review_notes TEXT,
created_at TIMESTAMPDEFAULTCURRENT_TIMESTAMP,
updated_at TIMESTAMPDEFAULTCURRENT_TIMESTAMP
);
CREATE TABLE exception_audit_log (
id SERIAL PRIMARY KEY,
exception_id INTEGERREFERENCES vulnerability_exceptions(id),
action VARCHAR(50) NOT NULL,
actor VARCHAR(255) NOT NULL,
details TEXT,
created_at TIMESTAMPDEFAULTCURRENT_TIMESTAMP
);
CREATE INDEX idx_exception_status ON vulnerability_exceptions(status);
CREATE INDEX idx_exception_expires ON vulnerability_exceptions(expires_at);
CREATE INDEX idx_exception_cve ON vulnerability_exceptions(cve_id);
Implementation
This section covers implementation for building vulnerability exception tracking system.
Ensure all prerequisites are met before proceeding
Follow the documented workflow steps in sequence
Record results and any anomalies encountered during this phase
Exception Request API
from flask import Flask, request, jsonify
from datetime import datetime, timezone
import json
app = Flask(__name__)
@app.route("/api/exceptions", methods=["POST"])defcreate_exception():
data = request.json
required = ["cve_id", "finding_id", "category", "justification", "expires_at", "requestor_email"]
for field in required:
if field notin data:
return jsonify({"error": f"Missing required field: {field}"}), 400# Validate expiration does not exceed category maximum
max_days = {"remediation_delay": 30, "no_fix": 90, "business_critical": 60,
"false_positive": 365, "compensating_control": 180}
# Insert into database and notify approversreturn jsonify({"status": "pending", "id": "exc-12345"})
@app.route("/api/exceptions/<exc_id>/approve", methods=["POST"])defapprove_exception(exc_id):
approver = request.json.get("approver_email")
notes = request.json.get("notes", "")
# Update status to approved, record approver and timestampreturn jsonify({"status": "approved"})
@app.route("/api/exceptions/<exc_id>/reject", methods=["POST"])defreject_exception(exc_id):
reviewer = request.json.get("reviewer_email")
reason = request.json.get("reason")
# Update status to rejected, record reviewer and reasonreturn jsonify({"status": "rejected"})
