Secrets Scanner

Overview

The secrets scanner is ZenVeil’s most comprehensive detector. It runs on scan repo and scan github targets and covers two categories:

Credential patterns — actual secrets that should never appear in source code
Repository risk patterns — OWASP anti-patterns that create security debt

Credential patterns

These findings are always CRITICAL or HIGH severity. They indicate live credentials committed to source.

Pattern	Severity	Confidence	Description
AWS access key	CRITICAL	95%	`AKIA` + 16 alphanumeric characters
GitHub token	CRITICAL	95%	`ghp_`, `gho_`, `ghu_`, `ghs_`, `ghr_` prefix
Private key block	CRITICAL	98%	`-----BEGIN ... PRIVATE KEY-----`
Hardcoded API key	HIGH	80%	`api_key = "..."`, `access_token = "..."`
Hardcoded password	HIGH	75%	`password = "..."`, `passwd = "..."`
JWT token	HIGH	85%	Three base64url segments separated by `.`
Slack token	HIGH	90%	`xoxb-`, `xoxa-`, `xoxp-`, `xoxr-`, `xoxs-`

Example finding

ID:          ZG-A1B2C3
Severity:    CRITICAL
Title:       AWS access key
Scanner:     secrets
Category:    secrets
OWASP:       A02:2021 — Cryptographic Failures
Location:    src/config.js:14:23
Evidence:    AWS access key pattern matched; secret value redacted.
Confidence:  95%
Remediation: Revoke the AWS key, remove it from the repository, and
             load it from a secret manager or environment variable.

Repository risk patterns

These findings surface OWASP anti-patterns that are common in AI-generated code. Severity ranges from MEDIUM to CRITICAL.

Authentication & session management

Pattern	Severity	OWASP
Predictable JWT signing secret (`changeme`, `secret`, etc.)	CRITICAL	A02:2021
JWT signed inline with predictable secret	CRITICAL	A02:2021
Token stored in `localStorage` or `sessionStorage`	HIGH	A02:2021, A07:2021
Client-written cookie with token data	HIGH	A02:2021
Long-lived session token (365d, `never`, `0`)	MEDIUM	A07:2021
Client-side-only logout	MEDIUM	A07:2021

Authorization

Pattern	Severity	OWASP
Client-side admin gate (`isAdmin`, `role === 'admin'`)	MEDIUM	A01:2021
Sensitive route without visible auth middleware	HIGH	A01:2021
Object lookup by request-controlled ID (possible IDOR)	MEDIUM	A01:2021

Frontend exposure

Pattern	Severity	OWASP
Secret in `VITE_`, `NEXT_PUBLIC_`, `REACT_APP_` env var	HIGH	A02:2021
Open redirect using request parameters	HIGH	A01:2021

Infrastructure

Pattern	Severity	OWASP
Debug mode enabled (`DEBUG=True`, `NODE_ENV=development`)	MEDIUM	A05:2021
`USER root` in Dockerfile	HIGH	A05:2021
Public database bind address	HIGH	A05:2021
Weak password hashing (MD5, SHA1)	HIGH	A02:2021
Low bcrypt cost factor (≤10)	MEDIUM	A02:2021

Dependencies

Pattern	Severity	OWASP
Install-time script in `package.json`	MEDIUM	A06:2021
Unpinned Python dependency in `requirements.txt`	LOW	A06:2021

Environment file hygiene

The secrets scanner also checks:

.env file committed (HIGH, 97% confidence) — any .env, .env.local, .env.production, etc. found in the repo
.env not in .gitignore (MEDIUM, 93% confidence) — the .gitignore doesn’t contain an .env exclusion pattern

# Fix both with:
git rm --cached .env
echo ".env*" >> .gitignore
git commit -m "Remove .env from tracking and add to gitignore"

Files scanned

The scanner traverses all files in the repository except:

node_modules/, .venv/, __pycache__/, .git/
Binary files (images, archives, compiled artifacts)
Files > 1MB (unlikely to contain useful patterns)

Context-aware severity

Test, fixture, mock, and example files are scanned by default — because real credentials are routinely committed there. Instead of ignoring these files and creating blind spots, ZenVeil detects findings in all files but adjusts severity based on file context.

How it works

When a secret is found outside of production code, ZenVeil:

Detects it with the same confidence as a production finding
Downgrades the severity by one or two tiers
Appends (test file), (fixture file), or (example file) to the title
Labels the finding with a context badge in the output

Severity downgrade table

Original severity	In test/fixture/example file
CRITICAL	→ MEDIUM
HIGH	→ LOW
MEDIUM	→ LOW
LOW	→ LOW

Context classification

Files are classified by their path:

Context	Matched paths
`production`	Everything not matched below — full severity
`test`	`tests/`, `test/`, `spec/`, `__tests__/`, `e2e/`, `integration/`, `unit/`, `.test.`, `.spec.`, `test_*.py`
`fixture`	`fixtures/`, `mocks/`, `stubs/`, `fakes/`, `seeds/`, `factory/`, `testdata/`
`example`	`examples/`, `demos/`, `samples/`

Example

# Production file → CRITICAL
ZG-A1B2  CRITICAL  prod     secrets   AWS access key           src/config.py:14

# Test file → downgraded to MEDIUM
ZG-C3D4  MEDIUM    test     secrets   AWS access key (test file)   tests/test_auth.py:8

To skip non-production files entirely, use the --exclude-tests flag:

zenveil scan github owner/repo --exclude-tests

This is not recommended as the default — credentials in test history are still in your git history and still exploitable. See Context-aware scanning for the full rationale.

Avoiding false positives

All secret values in findings are redacted — ZenVeil never logs, stores, or transmits actual credential values. To suppress a confirmed false positive:

zenveil ignore ZG-A1B2C3 --reason "Test fixture — not a real key"

To record it for the feedback loop:

zenveil feedback ZG-A1B2C3 false_positive

Getting Started

Scanners

Integrations

Examples

Plans & Pricing

Secrets Scanner

Overview

Credential patterns

Example finding

Repository risk patterns

Authentication & session management

Authorization

Frontend exposure

Infrastructure

Dependencies

Environment file hygiene

Files scanned

Context-aware severity

How it works

Severity downgrade table

Context classification

Example

Avoiding false positives

​Overview

​Credential patterns

​Example finding

​Repository risk patterns

​Authentication & session management

​Authorization

​Frontend exposure

​Infrastructure

​Dependencies

​Environment file hygiene

​Files scanned

​Context-aware severity

​How it works

​Severity downgrade table

​Context classification

​Example

​Avoiding false positives

Overview

Credential patterns

Example finding

Repository risk patterns

Authentication & session management

Authorization

Frontend exposure

Infrastructure

Dependencies

Environment file hygiene

Files scanned

Context-aware severity

How it works

Severity downgrade table

Context classification

Example

Avoiding false positives