ATTACK PATHS

Security Issues Revealed By Source Code Analysis

D3Fbyte reviews source code with an attacker mindset to identify weaknesses that are easy to miss in surface-level testing alone.

We inspect how user-controlled data moves through the application, how privileged actions are enforced, and where hidden assumptions in the code could be abused during a real intrusion.

Secure Code Review
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if (user.role !== "admin") {
  audit("privileged route");
  throw AccessDenied;
}
const token = verifyJwt(req.headers.auth);
return fetch(callbackUrl);
query("SELECT * FROM invoices WHERE id=?");
if (req.query.export === "true") {
  streamInvoice(req.query.id);
}
const metadata = fetch(callbackUrl);
cache.set("invoice-token", token);
IDOR Risk
JWT Check
SSRF Path
Privilege Review
Logic Trace
Exploit Mapping
  • Injection sinks

    Unsafe SQL, NoSQL, command, template, or interpreter usage reachable from attacker input.

  • Authentication weaknesses

    Token validation issues, reset-flow abuse, MFA bypass conditions, and weak session handling.

  • Broken authorization logic

    Missing server-side checks that allow privilege escalation, IDOR, tenant escape, or admin function abuse.

  • Sensitive data exposure

    Hard-coded secrets, unsafe logging, verbose errors, and insecure handling of confidential information.

  • Insecure deserialization and parsing

    Code paths that enable object tampering, unexpected execution, or parser abuse.

  • SSRF and outbound abuse

    User-influenced requests to internal services, metadata endpoints, or trusted integrations.

  • Crypto and token misuse

    Weak hashing, insecure JWT validation, predictable secrets, and flawed signing implementations.

  • Business logic flaws

    Workflow bypasses, race conditions, pricing abuse, and other design issues attackers can chain.

PROCESS

How We Perform Penetration-Test-Oriented Code Review

Our review starts by scoping the application architecture, frameworks, repositories, sensitive workflows, and trust boundaries that matter most to an attacker. We focus effort on high-risk areas such as authentication, authorization, payment logic, administrative functionality, file handling, integrations, and background jobs, then trace how data flows from entry points to sensitive actions.


Findings are validated for real exploitability and business impact, then correlated with runtime behavior and penetration test observations where relevant. The final result is a developer-useful report with clear affected code paths, attack scenarios, severity context, and practical remediation guidance that helps teams fix root causes faster.

From Source Code To Real-World Impact

Automated analysis that finds, correlates, and proves exploitable attack paths.

1 Source Code / Input

We analyze your code, configs, and routes to understand how your application works.

JSinvoiceController.js
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// Broken multi-tenant check (IDOR)
app.get("/invoices/:id", async (req, res) => {
  if (req.user && req.user.tenantId) {
    const invoice = await db.query(
      "SELECT * FROM invoices WHERE id = ${req.params.id}"
    );
    res.json(invoice);
  } else {
    res.status(403).send("Forbidden");
  }
});
Context Collected
Routes & APIs142
Data Flows327
Auth Checks58
Third-Party23
Multiple entry points. Complex interactions.
2 Automated Exploit Path Analysis

Our engine maps how a threat actor can chain weaknesses across your application and infrastructure.

Auth bypass / user enumeration Weak session handling allows attacker to enumerate valid users.
Low
IDOR invoice access Attacker manipulates invoice ID to access other tenants' data.
High
Job queue abuse Access to invoice export queue allows attacker to control job payload.
High
SSRF via callback URL Attacker sets malicious callback URL in export job.
Critical
Internal API access SSRF reaches internal admin API, returns sensitive data.
Critical
Cross-layer correlation • Data flow tracking • Context aware reasoning
From single bug to full attack chain in seconds.
3 Verified Results & Remediation

We don't just find issues. We prove exploitability and show you exactly how to fix them.

Exploitable vulnerability confirmed Attack Chain: IDOR → Queue Abuse → SSRF → Internal API Impact: Cross-tenant data exfiltration Risk Level: Critical Confidence: 95% (Verified)
Full execution trace
HTTP Request
Invoice Service
Queue Worker
SSRF
Internal API

We replay the full path and validate each hop.

Remediation plan
  • Enforce tenantId filter on all data queries
  • Validate and restrict callback URLs
  • Use short-lived scoped tokens for jobs
  • Add authorization checks in internal APIs
View Secure Code Example
Business impact

Potential data breach across all tenants, compliance violation, and severe reputational damage.

Have Question?

Frequently Asked Questions About Source Code Analysis

What is source code analysis in a penetration testing context?

It is a manual, attacker-oriented review of application code to identify exploitable weaknesses in design and implementation. By examining the code directly, testers can confirm root causes, uncover hidden attack paths, and find issues that may not be visible from external testing alone.

Is this the same as automated SAST scanning?

No. Automated tooling can support coverage, but D3Fbyte's service is centered on manual analysis performed by security professionals who review exploitability, trust boundaries, business logic, and how individual weaknesses can be chained during a realistic attack.

When should we request a secure code review?

Source code analysis is especially valuable before launch, after major feature releases, when handling sensitive data, before compliance milestones, or when you want deeper assurance for APIs and applications with complex authorization and business logic.

What do we receive at the end of the engagement?

You receive a prioritized report describing each issue, the affected component or code path, likely attack impact, remediation recommendations, and supporting context that helps developers reproduce and fix the underlying root cause efficiently.