T0820 Exploitation for Evasion — Attack Simulation
Adversaries may exploit a software vulnerability to take advantage of a programming error in a program, service, or within the operating system software or kernel itself to evade detection. Vulnerabilities may exist in software that can be used to disable or circumvent security features. Adversaries may have prior knowledge through Remote System Information Discovery about security features implemented on control devices. These device security…
Complete technique description
Adversaries may exploit a software vulnerability to take advantage of a programming error in a program, service, or within the operating system software or kernel itself to evade detection. Vulnerabilities may exist in software that can be used to disable or circumvent security features.
Adversaries may have prior knowledge through Remote System Information Discovery about security features implemented on control devices. These device security features will likely be targeted directly for exploitation. There are examples of firmware RAM/ROM consistency checks on control devices being targeted by adversaries to enable the installation of malicious System Firmware.
These contracts are selected through exact technique-to-data-component relationships or explicitly labelled planning overrides. Configure a collector at the relevant observation point; a telemetry name alone is not coverage.
Application Log Content · source-mapped
DC0038 collection page — Select the application event family required by the detection and document its native schema before normalization.
Providers and collection configuration
Application audit logs: First-party service events and request/result fields; schema is application-specific.
Enable the application audit category or instrument the owned lab application at the authorization/action boundary.
Define a schema with timestamp, service, actor, object, action, result and correlation ID. Export structured records through an authenticated collector.
Redact secrets and personal content, separate audit from debug logs, set retention and verify delivery during rotation/restart.
Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.
Visibility limits: Debug output is not necessarily a durable audit trail. Application developers must emit the relevant event; installing a log pipeline does not make an absent event exist.
Network Traffic Content · source-mapped
DC0085 collection page — Scope approved packet capture/protocol content collection to the lab flow; retain capture provenance and truncation indicators.
Providers and collection configuration
Zeek: Connection and protocol metadata from traffic visible to the sensor.
Suricata EVE: Configured flow, alert, DNS, HTTP, TLS and protocol records.
Use an authorized lab TAP/SPAN, virtual mirror or gateway interface. Define which traffic crosses it; avoid assuming visibility into every segment.
Enable the required Zeek analyzers or Suricata EVE event types. Export logs with sensor identity, clock synchronization and flow correlation identifiers.
Monitor capture loss, truncation and exporter sampling. Capture payload only with approval and restrictive retention; encryption normally prevents plaintext inspection.
Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.
Visibility limits: Flows are not packet payloads. NAT, asymmetric routes, encryption, missing mirrors and sampling can hide attribution or content. A destination connection alone does not prove malicious intent.
Real-time monitoring identifies malformed or out-of-spec ICS protocol exchanges targeting an embedded device from a source outside the approved communication baseline. OT operational-fidelity gate: Alert only when execution violates an approved signer/hash/path/parent/process or tool allowlist, or originates from an unauthorized user/tool, and is tied to an OT asset or follow-on OT-relevant action. Suppress vendor-signed software, approved engineering utilities, diagnostics, patching, backup, and documented maintenance.
Real-time monitoring identifies ptrace syscalls or /proc/pid/mem write operations targeting Industrial Control System (ICS) service processes from a process that is not a debugger or vendor diagnostic tool. OT operational-fidelity gate: Alert only when execution violates an approved signer/hash/path/parent/process or tool allowlist, or originates from an unauthorized user/tool, and is tied to an OT asset or follow-on OT-relevant action. Suppress vendor-signed software, approved engineering utilities, diagnostics, patching, backup, and documented maintenance.
Platforms: Linux.
No structured log-source mapping supplied by this analytic.
Real-time monitoring identifies Industrial Control System (ICS) network device syslog recording unexpected restarts or crashes coinciding with anomalous traffic patterns on management interfaces. OT operational-fidelity gate: Alert only when execution violates an approved signer/hash/path/parent/process or tool allowlist, or originates from an unauthorized user/tool, and is tied to an OT asset or follow-on OT-relevant action. Suppress vendor-signed software, approved engineering utilities, diagnostics, patching, backup, and documented maintenance.
Platforms: Network Devices.
Application Log Content — networkdevice:syslog; channel unexpected restart or crash coinciding with anomalous traffic pattern on management interface.
Real-time monitoring identifies an Industrial Control System (ICS) vendor process crashing unexpectedly, immediately preceded by an unusual cross-process memory access event from a process outside the recognized security/diagnostic tool allowlist. OT operational-fidelity gate: Alert only when execution violates an approved signer/hash/path/parent/process or tool allowlist, or originates from an unauthorized user/tool, and is tied to an OT asset or follow-on OT-relevant action. Suppress vendor-signed software, approved engineering utilities, diagnostics, patching, backup, and documented maintenance.
Platforms: Windows.
No structured log-source mapping supplied by this analytic.
Source rule directory and observation requirements
No exact-tagged Sigma source rule was imported. This does not establish that the technique is undetectable; the MITRE guidance and collection requirements remain relevant.
Before treating a rule as coverage
Read the actual condition and logsource; identify attacker-side, victim-side or third-party visibility.
Map native sensor fields, parse times and identities, then compile for the selected backend.
Replay a behavior-positive case, a normal control, an authorized look-alike and a missing-telemetry case.
Record matches and misses with rule version and source events. No match is inconclusive when required telemetry is absent.
Anomaly-based detection
No exact technique-specific Atlas model is present for T0820 in the selected source snapshot. The following is a design worksheet, not a newly validated model.
Anomaly engineering worksheet
Start from the exact analytic above. The collection-specific lenses below are analyst recommendations; they do not assert that an arbitrary statistical deviation detects this technique.
Application and service audit: Per application, client and route: request rate, rare actions, failure ratios and unusual state transitions. Version changes, retries, health probes and seasonal load need separate baselines.
Network and protocol telemetry: Per source and observation point: connection rate, destination-host/port fan-out, response/failure ratio and previously unseen destinations. Compare equivalent time windows; separate authorized scanners, NAT and sampling effects.
Define an entity/peer group and feature; exclude the evaluation period from baseline training.
Use representative normal and maintenance activity. Do not invent a production threshold from a synthetic example.
Evaluate held-out behavior-positive and benign cases; measure false positives, misses and telemetry loss separately.
Keep abnormality separate from maliciousness. Correlate with the behavior-specific source evidence.
No reviewed lab-tool association is selected for this exact technique. This is a curation gap, not a statement that no tool can implement the behavior.
Software observed in source procedures
These are exact ATT&CK software-use relationships, including malware. They provide behavior context, not recommendations to download or execute malware. No safety or detector claim is inherited.
Atomic evidence: no compatible candidate in this snapshot. Live lab status: not run for these imported procedures.
Use a process simulator or isolated test rig with no connection to production controllers or physical actuators. Preserve safety interlocks; destructive effects require synthetic evidence, not real equipment damage.
No compatible Atomic procedure is present in this pinned evidence set. Technical feasibility has not been ruled out. A custom procedure must define the behavior, target, collection point, success observable and rollback before execution.
Technique-specific experiment contract
Choose one procedure implementing T0820 Exploitation for Evasion; identify the observable behavior in the source definition, not just its tactic.
Record exact target, tool/version, inputs, privileges, network limits and approval. Never run an imported default target automatically.
Enable the collection sources above and verify a benign baseline reaches the detector.
Run only the approved isolated scenario; capture native events and an independent behavior observable.
Evaluate the exact rule/model, restore the lab, and preserve configuration, event hashes, alerts, controls and misses.
This fixture exercises the listed collection fields. It does not reproduce Exploitation for Evasion, label its example events as malicious, or measure detection effectiveness. Use the exact analytic and selected procedure to build an independently labelled behavior-positive dataset.
Not run in this browser. No network scan or attack command is executed by this control.
Validation status and remaining work
Source identity
Joined by exact technique/object IDs against hash-pinned sources.
Collection fixture
Available for offline schema exercises; not attack emulation.
Native telemetry / backend / real attack
Not validated for these imported procedures. Source fidelity and page tests cannot establish sensor or detector effectiveness.
Pinned MITRE STIX source · SHA-256 c9ca0ce523a1b5e512060a390415e8aefe8f6d32c5f82d7de81264960c1e1183. Definition and procedure context are reproduced from this snapshot, not independently re-investigated incidents.
Develop a robust cyber threat intelligence capability to determine what types and levels of threat may use software exploits and 0-days against a particular organization.
Make it difficult for adversaries to advance their operation through exploitation of undiscovered or unpatched vulnerabilities by using sandboxing. Other types of virtualization and application microsegmentation may also mitigate the impact of some types of exploitation. Risks of additional exploits and weaknesses in these systems may still exist. [Dan Goodin March 2017]
Security applications that look for behavior used during exploitation such as Windows Defender Exploit Guard (WDEG) and the Enhanced Mitigation Experience Toolkit (EMET) can be used to mitigate some exploitation behavior. [Microsoft Security Response Center August 2017] Control flow integrity checking is another way to potentially identify and stop a software exploit from occurring. [Wikipedia] Many of these protections depend on the architecture and target application binary for compatibility and may not work for all software or services targeted.
Pinned research references. No browser attack runner or production-validated detector is asserted. Imported procedures remain unvalidated; any bounded lab evidence has its own scope. ATT&CK / Atomic provenance · Detection provenance.