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Python · JavaScript · TypeScriptOWASP Top 10 coverageNo agent to install
orvanta · payflow-api
Analyzing
payflow/auth.pypython
1@app.route('/api/login', methods=['POST'])
2def login():
3 email = request.json.get('email')
4 pw = hashlib.md5(password.encode())
5 cur.execute(
6 f"SELECT * FROM users WHERE email = '{email}'"
7 )
8 return jsonify(cur.fetchone())
understanding codebase…
✓Mapping frameworks & data layer
✓Tracing auth & API surface
✓Loading advisory database
2 critical 2 high
score52/100

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AI-powered scanning
Taint-aware analysis that understands context, not keyword grep.
GitHub workflow
Fixes arrive as reviewable pull requests, not another dashboard.
Enterprise security
SSO-ready, isolated analysis, your code never trains a model.
Automated fixes
Production-ready patches, adversarially reviewed before you see them.
How it works

Specialized agents
on every pull request

Every PR is understood, reviewed, gated, and fixed — so nothing risky reaches production, and your engineers stay focused on shipping.

STEP 01

Every change understood in depth

The agent maps your codebase — frameworks, data layer, auth, and API surface — before it flags a single issue.

STEP 02

A quality gate blocks risky merges

Findings are ranked by real exposure, not raw CVSS, and gated so nothing risky reaches production.

STEP 03

Fixes and PRs on every pull request

Secure patches are written, adversarially reviewed, and packaged into a pull request — automatically.

Defensive · Code

Caught before merge,
not after the incident

Code, dependencies, and secrets are checked in the pull request and ranked by real exposure — rather than raw CVSS.

payflow-api · scan report
engine v1.4
Findings by severity
25 total · across 6 files
48/100
score
Critical
9
High
13
Medium
3
Low
0
SQL Injectionauth.py:19
JWT not verifiedauth.py:30
Vulnerable: axios 0.21.0package.json:5

Static analysis

Injection, XSS, auth, unsafe deserialization, and dangerous sinks — caught before merge.

Third-party packages

Known CVEs and vulnerable versions across your npm and PyPI dependencies.

Hardcoded secrets

API keys, tokens, and credentials committed to source, flagged the moment they land.

The difference

It doesn't just find issues. It fixes them.

Other tools hand you a list of alerts. Orvanta understands the vulnerability, explains the attack, and writes the secure patch — reviewed before it reaches you.

Vulnerability found
Critical · SQL Injection
payflow/auth.py:19 · CWE-89
email = request.json.get('email')
cur.execute(
  f"SELECT * FROM users WHERE email = '{email}'"
)

Input flows unescaped into the query. An attacker submits ' OR '1'='1 and reads every user record.

AI-generated fix
reviewed · safe
parameterized query
- f"SELECT * FROM users WHERE email = '{email}'"
+ "SELECT * FROM users WHERE email = %s", (email,)

Values move out of the SQL text into a parameter tuple the driver escapes. Behavior is preserved; the injection is closed.

Defensive

Integrates with your entire stack

Instead of adding another dashboard to check, Orvanta plugs into the platforms, languages, and pipelines you already use.

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The stack Orvanta secures

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Security from codebase
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Watch Orvanta take a real service from a failing security grade to a merged pull request — understanding the code, proving the attack, and shipping the fix.

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