Call Stacks: No More Free Passes For Malware

Elastic enhances Windows endpoint security by leveraging call stacks to identify malicious activities with greater precision, distinguishing the actor behind behaviors rather than just the actions themselves. The approach enriches call stacks with contextual data to aid detection, triage, and hunting, while addressing challenges like spoofing and limitations of stack walking. #CallStacks #ElasticDefend #SilentMoonwalk

Keypoints

  • Call stacks provide detailed telemetry that helps determine who is performing an activity, improving detection accuracy beyond behavior analysis alone.
  • On x64 hosts, accurate call stacks rely on CPU execution tracing features, but stack walking recovers approximate call stacks from thread stacks, which malware can manipulate.
  • Elastic enriches call stacks by translating addresses into module offsets, exported function names, and public symbols, improving analysis and alert triage.
  • The final user module in a call stack is critical for detection, with its hash and code signature used to baseline legitimate versus malicious behavior.
  • Various kernel-mode to user-mode callbacks (e.g., RtlUserThreadStart, KiUserExceptionDispatcher, KiUserApcDispatcher) have distinct security implications and aid in call stack interpretation.
  • Elastic tags call stacks with behaviors like nativeapi, proxycall, shellcode, and image_rop to highlight suspicious characteristics relevant for threat hunting and alert triage.
  • Techniques such as return address spoofing (e.g., SilentMoonwalk) present evasion challenges, but detailed call stack inspection can expose these lies for detection.

MITRE Techniques

  • [T1040] Network Sniffing – Not directly mentioned but analogous to tracing call stacks at execution level for detecting hidden actions (“on-host rule engine…to quickly respond to emerging threats”).
  • [T1055] Process Injection – Referenced by malicious behavior hiding calls behind trampoline stack frames (“Malware authors use this ambiguity to lie…craft trampoline stack frames…”).
  • [T1102] Web Service – Use of public symbols from vendors is mentioned but not adversary technique.
  • [T1204] User Execution – Usage of application startup routines such as LdrInitializeThunk and RtlUserThreadStart (“These are the entrypoints for user threads and fibers”).
  • [T1562.001] Impair Defenses: Disable or Modify Tools – Proxy calls and return address spoofing (“the call stack may indicate a proxied API call to mask the true source”).
  • [T1574] Hijack Execution Flow – Overwriting KernelCallbackTable via KiUserCallbackDispatcher (“Overwriting an entry…is an easy way to hijack a GUI thread”).
  • [T1608.002] Stage Capabilities: Exploitation for Defense Evasion – SilentMoonwalk research exposes spoofing techniques used for evasion (“approaches for full call stack spoofing…”).

Indicators of Compromise

  • [File Hash] final user module hashes – “0240cc89d4a76bafa9dcdccd831a263bf715af53e46cac0b0abca8116122d242”, “a59a7b56f695845ce185ddc5210bcabce1fff909bac3842c2fb325c60db15df7”, “0e5a62c0bd9f4596501032700bb528646d6810b16d785498f23ef81c18683c74”
  • [File Name] suspicious executables – file.dll, file.exe, rundll32.exe (user module examples related to call stacks)
  • [Memory Protection] protection fluctuations detected – RW- (read-write-execute) pages indicating potential code hooking or shellcode usage


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