Insecure token storage makes an XSS issue far more damaging because injected JavaScript can read tokens and send them to an attacker. Local storage and session storage are directly exposed to script, so they should not hold sensitive session material. httpOnly cookies reduce that exposure because browser JavaScript cannot access them, which narrows the blast radius of client-side compromise.
Why This Matters for Security Teams
A React XSS flaw is never just a front-end coding defect when the application stores reusable session material where injected script can reach it. The risk shifts from page defacement to session theft, impersonation, and lateral movement across APIs and downstream services. That is why token location matters as much as the quality of the sanitisation and output encoding layers. NIST SP 800-53 Rev 5 Security and Privacy Controls is a useful control reference because it ties application security decisions to access, session, and boundary protections rather than treating them as isolated coding issues.
Security teams often assume modern frameworks automatically reduce exposure, but framework safety depends on how the browser is allowed to hold secrets. If a bearer token is available to JavaScript, any successful XSS can usually exfiltrate it and reuse it outside the browser session. If the token is inaccessible to script, the attacker may still act inside the page context, but the attack is usually harder to turn into durable account compromise.
In practice, many security teams encounter token theft only after a harmless-looking XSS bug has already been turned into full account takeover, rather than through intentional session design.
How It Works in Practice
The practical question is not whether XSS is possible, but what the injected code can actually access. If a token sits in local storage or session storage, malicious script can read it directly and transmit it to an external endpoint. If the application relies on httpOnly cookies, browser JavaScript cannot read the cookie value, which removes the simplest theft path. That does not make XSS safe, but it changes the attacker’s options and usually reduces the blast radius.
Good implementation usually combines several layers:
- Keep high-value session material out of script-readable storage.
- Prefer httpOnly, Secure, SameSite cookies for browser-managed session state where the architecture supports it.
- Use short-lived access tokens and stronger server-side session controls when a token must exist in the browser flow.
- Treat XSS prevention as an application-wide discipline, not just a component-level fix.
- Validate that refresh and rotation logic cannot be abused to extend a stolen session indefinitely.
It also helps to separate authentication from authorisation state. A browser may need a session identifier, but it should not need a long-lived credential that can be replayed elsewhere. If a design requires token access from JavaScript for a legitimate reason, teams should assume the token is exposed to any script that executes in that origin and compensate with tighter expiry, audience restriction, and server-side anomaly detection. NIST SP 800-53 Rev 5 Security and Privacy Controls is helpful here because it reinforces that session handling, input handling, and monitoring need to be treated as coordinated controls, not separate checkboxes.
These controls tend to break down in single-page applications that depend on broad client-side state, third-party scripts, or cross-origin authentication flows because token handling becomes fragmented across multiple execution paths.
Common Variations and Edge Cases
Tighter token storage often increases implementation complexity, requiring organisations to balance reduced theft risk against browser behaviour, CSRF protections, and operational convenience. That tradeoff is especially visible in modern front-end architectures where teams want seamless refresh, offline support, or cross-tab persistence. Best practice is evolving, but there is no universal standard that fits every application pattern.
Some edge cases deserve special attention. If a token is stored in a cookie, the application must still address CSRF and set cookie attributes correctly. If a front end uses a third-party identity provider, the redirect and callback design may constrain storage choices more than the application team expects. If an app relies on embedded widgets, analytics tags, or supply-chain JavaScript, even a well-designed token strategy can be undermined by unexpected script execution in the same origin.
The identity angle matters too. For higher-risk environments, session handling should reflect the sensitivity of the user or workload identity being represented. A stolen token for an administrator, service account, or customer with payment access has a very different impact profile from a low-risk anonymous session. The practical test is simple: if an attacker can run script, the design should assume they can exploit any secret the browser can read, and the remaining controls must be strong enough to contain that failure.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST AI RMF, NIST SP 800-63 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AA-01 | Identity proofing and access assurance depend on limiting token exposure. |
| NIST AI RMF | AI risk governance fits because token abuse often follows broader application trust failures. | |
| OWASP Agentic AI Top 10 | Script execution and tool abuse are relevant where AI-enabled front ends expand attack paths. | |
| NIST SP 800-63 | AAL2 | Session strength and authenticator assurance affect the impact of stolen browser tokens. |
| NIST Zero Trust (SP 800-207) | SC-7 | Boundary enforcement matters when browser code can otherwise reach sensitive session state. |
Use AI risk governance to document trust boundaries and security assumptions for browser-facing systems.
Related resources from NHI Mgmt Group
- How can organisations reduce the impact if an XSS flaw reaches production?
- Why do direct DOM mutations increase XSS risk in React applications?
- Why does centralised storage of biometric data increase the impact of an admin credential compromise?
- How do overprivileged NHIs increase breach impact in cloud environments?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 1, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org