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02/08/2026 9:42 am
TL;DR: API security failures often start as access-control failures, making them relevant to IAM, NHI, and application security programmes, not just AppSec, according to StackHawk. StackHawk’s guide breaks down six common API vulnerability classes, including broken object authorization, broken authentication, injection, excessive data exposure, rate limiting gaps, and IDOR, and links them to practical mitigations such as stronger authz, throttling, encryption, scanning, and traffic monitoring.
NHIMG editorial — based on content published by StackHawk: Developer’s Guide to Fixing The 6 Most Common API Vulnerabilities
Questions worth separating out
Q: How should security teams test REST APIs for broken authorization?
A: Test each endpoint with multiple identity contexts: no authentication, invalid or expired credentials, least-privilege service accounts, and users outside the resource ownership boundary.
Q: Why do API tokens and keys need lifecycle governance?
A: Because they function as machine credentials, not just configuration values.
Q: What do teams get wrong about API rate limiting and monitoring?
A: Teams often treat rate limiting as a performance setting instead of an identity control.
Practitioner guidance
- Map every API endpoint to an object-level authorisation test Build automated tests that change object identifiers and validate that the API blocks cross-tenant and cross-user access.
- Treat tokens and API keys as governed machine credentials Inventory which services issue, store, rotate, and revoke tokens and API keys.
- Enforce response minimisation and field-level filtering Review API responses against data classification so each client receives only the fields it needs.
What's in the full article
StackHawk's full blog covers the operational detail this post intentionally leaves for the source:
- Examples of how the vendor maps each vulnerability to scanner-driven findings and remediation workflows
- The article's step-by-step guidance for testing object-level authorization and broken authentication in real APIs
- Implementation detail on using discovery and scanning to find deprecated or insecure API versions
- The vendor's practical examples for rate limiting, logging, and monitoring abusive request patterns
👉 Read StackHawk's guide to fixing the six most common API vulnerabilities →
API vulnerability patterns: what IAM and AppSec teams need to know?
Explore further
02/08/2026 12:36 pm
API authorization is now an identity governance problem, not only an AppSec problem. The article’s core vulnerabilities, especially BOLA, broken authentication, and IDOR, are all failures of who or what is allowed to access a resource. That means API controls need to be governed the same way human and non-human access is governed elsewhere in the stack. Practitioners should treat API authorization as part of enterprise identity policy, not just developer validation.
A question worth separating out:
Q: How can organisations reduce excessive data exposure through APIs?
A: By designing responses around the minimum data each client genuinely needs and filtering sensitive fields server-side. Teams should align API output with data classification, not with what is convenient to return. If an endpoint exposes more attributes than the caller is entitled to use, the exposure risk remains even when access is authenticated.
👉 Read our full editorial: API vulnerabilities expose object access, auth, and data controls
