Because the files they expose often contain API keys, tokens, and backend credentials that behave like non-human identities once attackers obtain them. A traversal flaw can therefore become a credential theft event, not just a data disclosure issue. If exposed secrets remain valid, the attacker may pivot into connected services or pipelines.
Why This Matters for Security Teams
Path traversal is often treated as a web application bug, but the security impact is usually wider. When an attacker can read configuration files, deployment artifacts, or backup archives, the exposed content may include API keys, service account tokens, database passwords, certificates, or session material. Those secrets can function like non-human identities because they grant authenticated access, sometimes with more reach than a human user account.
The real risk is not just disclosure. A stolen secret can enable lateral movement, pipeline compromise, data access, or persistent access through automation. That is why traversal bugs should be investigated as potential identity compromise events, not only as file exposure issues. The NIST Cybersecurity Framework 2.0 is useful here because it ties asset protection, detection, and recovery into one operating model rather than treating each issue in isolation.
In practice, many security teams encounter the real impact only after exposed secrets have already been used to authenticate elsewhere, rather than through intentional file exposure testing.
How It Works in Practice
Traversal flaws usually arise when user input is joined to a file path without strict normalization and allowlisting. Attackers then supply path segments such as dot-dot sequences or encoded variants to move outside the intended directory. If the application runs with broad filesystem access, the exposed scope can include application source, environment files, logs, container metadata, backup sets, or cloud configuration files.
The identity risk emerges when those files contain credentials that are still valid. Modern environments commonly store secrets in multiple places, including CI/CD variables, container manifests, Kubernetes mounts, and machine-readable config. A single disclosure can therefore reveal several trust relationships at once. The most important operational question is not only “Was the file readable?” but also “What can this secret do, and how long will it remain valid?” The OWASP Non-Human Identity Top 10 is relevant because it frames these secrets as identities with lifecycle and privilege concerns, not just sensitive strings.
Practitioners should combine file-path hardening with secret containment measures:
- Use allowlisted base directories and canonicalize paths before access decisions.
- Store secrets outside web roots and keep runtime files separate from source assets.
- Minimise privileges on service accounts, workload identities, and deployment tokens.
- Rotate exposed secrets quickly and verify revocation actually breaks access.
- Monitor for unusual secret use, not just the initial file read.
Threat modelling should also include downstream systems. A path traversal issue on a single application can expose credentials that unlock cloud storage, build systems, internal APIs, or admin panels. These controls tend to break down in legacy monoliths and containerised workloads with shared volumes because filesystem boundaries and runtime boundaries are too loosely separated.
Common Variations and Edge Cases
Tighter filesystem controls often increase operational overhead, requiring organisations to balance developer convenience against containment. That tradeoff becomes more visible in environments that use temporary files, shared mounts, or dynamic generation of configuration at startup.
Current guidance suggests treating any file that may hold credentials as part of the identity attack surface, even if it is not obviously a “secret store.” This includes cached tokens, SSH material, cloud instance profiles, and hidden dotfiles. In regulated or high-trust environments, exposed certificates may matter as much as passwords because they can enable impersonation, signing abuse, or trusted service-to-service access.
Edge cases matter. Some traversal findings expose only low-value files at first glance, but the same flaw may become severe when filenames are predictable, backup naming is consistent, or debug endpoints reveal directory structures. Best practice is evolving around secret hygiene for non-human identities, but there is no universal standard for how aggressively to invalidate every potentially exposed credential after disclosure. Teams should set a clear revocation threshold based on privilege, exposure path, and observability.
For identity-heavy environments, this question overlaps naturally with OWASP Non-Human Identity Top 10 because the bug may reveal the very credentials that automate production access. The safest assumption is that readable secrets are already compromised until proven otherwise.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and MITRE ATT&CK address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AC-1 | Path traversal can expose credentials that defeat access-control assumptions. |
| OWASP Non-Human Identity Top 10 | NHI lifecycle and secret hygiene | Exposed secrets often act as machine identities with their own lifecycle and privilege. |
| NIST Zero Trust (SP 800-207) | Resource access enforcement | Traversal-driven secret theft breaks trust in internal network location and implicit access. |
| NIST AI RMF | If traversal exposes AI service keys, model and inference access become part of the risk. | |
| MITRE ATT&CK | T1005 | Traversal is a common path to local file discovery and credential harvesting. |
Restrict file and secret access paths, then verify only authorised identities can reach sensitive assets.
Related resources from NHI Mgmt Group
- Why do non-human identities create more risk than many human accounts?
- Why do non-human identities create more remediation risk than many human accounts?
- What is the difference between prompt injection risk and identity abuse in agents?
- When does workload identity federation create less risk than static CI/CD secrets?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 2, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
