Runtime credential harvesting is the theft of secrets while software is running, rather than from stored files or repositories. Attackers intercept API keys, tokens, certificates, session cookies, or memory-resident credentials during execution, then reuse them to impersonate users, services, or AI agents inside cloud, application, or infrastructure environments.
How Runtime Credential Harvesting Works
Runtime credential harvesting happens during execution, when attackers intercept secrets as they are actively being used rather than waiting for them to be stored. That distinction matters because runtime exposure often includes live sessions, in-memory tokens, and short-lived credentials that can be abused immediately.
The theft path is usually opportunistic but highly effective: malware, injected code, debugger abuse, process inspection, memory scraping, or runtime interception can reveal secrets that a legitimate application has already loaded. OWASP Non-Human Identity Top 10 is a useful reference point because many runtime secrets are the materials that let services and automation act with authority.
Why Runtime Credential Harvesting Is Dangerous
Runtime harvesting is dangerous because the exposed material is often already trusted by the environment. A stolen session cookie, API key, token, certificate, or cloud credential can let an intruder blend in as a valid user, service, or agent without needing to crack a password or bypass front-door authentication.
The impact is amplified in cloud, application, and infrastructure environments where one harvested secret may unlock several systems at once. Runtime theft can also create immediate impersonation, lateral movement, and data access because the attacker is using credentials the runtime itself has already accepted.
Anthropic GTG-1002 AI espionage campaign and Ivanti Connect Secure exploitation 2024 both illustrate why live credential capture is so valuable to attackers: once access material is harvested, reuse can be fast, stealthy, and difficult to distinguish from legitimate activity.
Common Runtime Sources of Secret Exposure
Runtime secrets are commonly exposed through memory, environment variables, injected configuration, temporary files, logs, browser storage, and service-to-service traffic. In modern systems, the same exposure pattern can affect workloads, APIs, VPN appliances, containers, and AI-enabled applications that hold credentials while they execute.
Long-lived secrets make this problem worse because they remain useful after capture. The more reusable and less bounded the credential, the more damage a single runtime interception can cause, especially when the secret is shared across environments or reused by multiple services.
Secrets Management Guide and Ultimate Guide to NHIs, Static vs Dynamic Secrets both support the core defensive idea here: reduce the amount of reusable secret material that exists during runtime, and narrow the window in which any captured credential remains valid.
Detection, Containment, and Post-Exploitation Review
Detecting runtime credential harvesting is harder than finding a stored secret leak because the compromise may not leave an obvious file artifact. Organisations need to review process behaviour, unusual token use, new sessions, suspicious API calls, anomalous access from services, and signs that credentials were used from an unexpected host or workload.
After suspected harvesting, the response should include revocation, rotation, session invalidation, and review of whether the attacker used the secret to reach adjacent systems. The question is not only whether a credential was stolen, but whether it was used to access data, impersonate a service, or pivot deeper into the environment.
API Key Management Guide and LLM Provider API Key Security and LLMjacking Guide are especially relevant where the harvested material includes bearer-style API credentials that can be reused immediately.
Risk and Threat Considerations
Runtime credential harvesting creates a high-confidence abuse path because the attacker does not need to forge trust, only to copy it while the application is alive. That makes runtime systems attractive targets for malware, injection attacks, memory scraping, and credential-stealing operations that aim to turn a brief foothold into durable access.
Failure mechanism: The environment exposes active secrets in memory, process space, runtime configuration, or session state, and the attacker captures them before the system can invalidate or replace them.
Impact: The attacker can impersonate users, services, or agents, then reuse the stolen material for lateral movement, cloud access, data theft, or persistence until the secret is revoked.
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 addresses the attack and risk surface, while NIST SP 800-53 Rev 5 and OWASP ASVS set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 — Secret Leakage | Runtime harvesting centers on secrets exposed while identities and workloads are active. |
| Recommendation — Reduce runtime secret exposure and treat any live credential as high-risk material. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Harvested runtime secrets are authenticators, tokens, and keys that require lifecycle control. |
| IA-9 — Service Identification and Authentication | The term covers service and workload credentials harvested during execution. | |
| AU-6 — Audit Record Review, Analysis, and Reporting | Detection depends on reviewing unusual runtime use of stolen credentials and sessions. | |
| Recommendation — Rotate, revoke, and manage authenticators so stolen runtime secrets expire quickly. Authenticate services with tightly scoped credentials and minimize runtime secret reuse. Correlate logs for abnormal token use, session reuse, and unexpected service access. | ||
| OWASP ASVS | V9 — Self-contained Tokens | Bearer and self-contained tokens are common runtime harvest targets and require careful handling. |
| Recommendation — Design tokens so theft does not automatically grant broad or long-lived access. | ||
Practitioner Guidance
Why practitioners should care: Runtime harvesting is often a control gap, not just a secret-management issue. If a system loads powerful credentials during execution, the security model must assume those credentials may be observable at runtime and limit what they can do if captured.
Practitioner note: Treat runtime exposure as part of the credential lifecycle, not an edge case. Shorter-lived credentials, tighter scoping, and faster invalidation reduce the value of anything an attacker manages to collect while the workload is running.
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Reviewed and updated by the NHIMG editorial team on October 23, 2026.
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