AN1759: Analytic 1759
Correlates app sandbox escape attempts via unsigned binary execution, mmap memory permission changes (RWX), and sandbox profile violations. Detection chain includes app leveraging JIT/JSC to execute shellcode or triggering kernel exploit via crafted IOKit or Mach port abuse.
Analyst context for executives and security teams
Analytic AN1759 is an iOS-focused detection analytic for signs that an app is trying to break out of its sandbox. The practical value is that sandbox escape behavior can undermine a core mobile security boundary, so leaders should treat coverage here as part of mobile endpoint resilience, high-risk user protection, and incident readiness rather than as a narrow malware signal.
Executive priority
Prioritize this analytic where iOS devices support sensitive business workflows, privileged users, regulated data, or operational decision-making. The key business question is whether the organization can produce evidence of suspicious app behavior that crosses sandbox boundaries, including unsigned binary execution, RWX memory permission changes, and sandbox profile violations. This matters for incident triage, mobile security assurance, and audit discussions around whether mobile controls are observable, not just configured.
Technical view
For SOC, detection engineering, and IR teams, AN1759 points to correlation rather than a single event. Validate whether iOS telemetry can expose app sandbox escape indicators such as unsigned binary execution, mmap memory permission changes to read-write-execute, sandbox profile violations, and related suspicious chains involving JIT/JSC shellcode execution or crafted IOKit or Mach port abuse. Because the ATT&CK object provides no formal detection logic and no tactic mapping, teams should treat it as a coverage-validation analytic and test whether available mobile telemetry can support chained analysis without overfitting to one event type.
Likely telemetry
- iOS app execution and code-signing evidence, especially unsigned binary execution indicators
- Memory permission change events, including mmap transitions to RWX where observable
- Sandbox profile violation logs or mobile security events
- Signals related to JIT/JSC behavior where collected by mobile security tooling
- Kernel, IOKit, or Mach port abuse indicators where exposed by device, EDR, MTD, or forensic telemetry
Detection direction
- Validate that telemetry exists for iOS; do not assume standard endpoint logging provides these signals.
- Correlate multiple weak signals such as unsigned execution, RWX memory changes, and sandbox violations before escalating to reduce false positives.
- Tune for legitimate developer, testing, accessibility, or enterprise app behaviors if those environments are present.
- Use the analytic as a mobile sandbox-escape coverage check because ATT&CK provides no official detection implementation in the supplied object.
- Confirm whether mobile defense tools preserve enough event detail for incident reconstruction, including app, device, user, and time context.
Mitigation priorities
- Inventory which iOS devices and business processes require this level of mobile threat visibility.
- Ensure managed mobile controls can identify app provenance, code-signing concerns, and high-risk app behavior where supported.
- Restrict untrusted or unmanaged app sources according to organizational policy and device management capabilities.
- Integrate mobile security alerts with SOC triage and IR workflows so sandbox escape indicators are not isolated from identity and device context.
- Prepare incident response procedures for suspect iOS app compromise, including containment, evidence preservation, and user/device scoping.
Analyst notes and limits
This object is a detection analytic, not a technique, and no relationships were supplied. Its value is in defining a defensible validation target for iOS sandbox escape behavior: can the organization see and correlate the events that would make this behavior actionable? Local tool capability and device management posture will decide whether this analytic is practical.
The supplied ATT&CK fields do not include an official detection query, tactic mapping, relationships, attribution, active exploitation claims, or non-iOS platforms. Any assessment of exposure, coverage, or alert fidelity requires local telemetry and control validation.
Analytic 1759
Correlates app sandbox escape attempts via unsigned binary execution, mmap memory permission changes (RWX), and sandbox profile violations. Detection chain includes app leveraging JIT/JSC to execute shellcode or triggering kernel exploit via crafted IOKit or Mach port abuse.
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
All related ATT&CK context
No relationships are available in the current normalized data for this object.
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates .
Imported snapshots across ATT&CK releases (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.1 | Current bundle | d4351e98b21c… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
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mitre-attack AN1759Open source URL
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