Technical Report | Infinity GRM

Case Study: Enterprise API Authentication Service

This example demonstrates a complex Python application review. The vulnerability is hidden across multiple functions and requires understanding of application logic rather than simple pattern matching.

Vulnerable Python Source


import json
import sqlite3
import base64

from flask import Flask, request


app = Flask(__name__)


class UserSession:

    def __init__(self, data):

        self.user = data.get("user")
        self.role = data.get("role")



def decode_session(token):

    decoded = base64.b64decode(token)

    data = json.loads(
        decoded.decode()
    )

    return UserSession(data)



def get_permissions(username):

    db = sqlite3.connect(
        "company.db"
    )

    cursor = db.cursor()


    query = (
        "SELECT permissions FROM users "
        "WHERE username='"
        + username +
        "'"
    )


    cursor.execute(query)

    return cursor.fetchone()



def authorize(token):

    session = decode_session(token)

    permissions = get_permissions(
        session.user
    )

    if session.role == "admin":

        return True


    return False

CRITICAL

Infinity GRM Findings

SQL Injection vulnerability discovered in authorization workflow.
Session tokens lack integrity verification.
Privilege escalation possible through manipulated role values.
Authentication trust boundary incorrectly implemented.
Database interaction requires parameterized queries.

AI Security Analysis

Detected Attack Chain

Attacker modifies session payload.
Application accepts altered privilege information.
Authorization logic grants elevated access.
Database query can be manipulated.

AI Generated Remediation

Infinity GRM generated a secure architecture using signed sessions, parameterized SQL queries, and strict authorization validation.


import sqlite3

from itsdangerous import URLSafeSerializer


serializer = URLSafeSerializer(
    "secure-secret"
)



def validate_session(token):

    try:

        return serializer.loads(token)

    except:

        return None




def get_permissions(username):

    db = sqlite3.connect(
        "company.db"
    )


    cursor = db.cursor()


    cursor.execute(

        """
        SELECT permissions
        FROM users
        WHERE username = ?
        """,

        (username,)

    )


    return cursor.fetchone()

Security Improvement Summary

The AI identified vulnerabilities requiring application-level reasoning, not only keyword detection. The remediation removed unsafe trust boundaries and improved authentication security.