Agent skill

Detecting Dll Sideloading Attacks

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Detect DLL side-loading and search-order hijacking (MITRE T1574) where adversaries plant malicious DLLs for legitimate signed applications to load, by analyzing Sysmon Event ID 7 DLL-load events…

Apache-2.0Auto-check passedSecurity

Install Detecting Dll Sideloading Attacks

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-dll-sideloading-attacks -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-dll-sideloading-attacks --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/detecting-dll-sideloading-attacks .claude/skills/detecting-dll-sideloading-attacks && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
detecting-dll-sideloading-attacks
GitHub stars
34k
Token cost
~1.1k tokens
SKILL.md length
402 words
Files
8 (incl. scripts, references, assets)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Detect DLL side-loading and search-order hijacking (MITRE T1574) where adversaries plant malicious DLLs for legitimate signed applications to load, by analyzing Sysmon Event ID 7 DLL-load events…

  • Works in 7 steps: Identify Sideloading Targets: Research… → Monitor DLL Load Events: Query Sysmon… → Check DLL Signatures: Flag unsigned or… → …
  • Investigating EDR alerts on unsigned DLLs
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Detecting Dll Sideloading Attacks is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect DLL side-loading and search-order hijacking (MITRE T1574) where adversaries plant malicious DLLs for legitimate signed applications to load, by analyzing Sysmon Event ID 7 DLL-load events, checking signatures/hashes against known-good versions, and flagging path anomalies with EDR tools like CrowdStrike, MDE, or SentinelOne. Use when investigating EDR alerts on unsigned DLLs, hunting for APT persistence via trojanized applications, or triaging incidents involving DLL hijacking.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).

It sits in Security. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Investigating EDR alerts on unsigned DLLs
  • Hunting for APT persistence via trojanized applications
  • Triaging incidents involving DLL hijacking

Example prompts

  • “/detecting-dll-sideloading-attacks”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Identify Sideloading Targets: Research known vulnerable applications that load DLLs without full path qualification (LOLBAS, DLL-sideload…
  2. Monitor DLL Load Events: Query Sysmon Event ID 7 for DLL loads where the DLL path differs from the application's expected directory.
  3. Check DLL Signatures: Flag unsigned or untrusted DLLs loaded by signed executables.
  4. Detect Path Anomalies: Identify legitimate executables running from unusual locations (Temp, AppData, Public) that may be decoy wrappers.
  5. Hash Verification: Compare loaded DLL hashes against known-good versions and threat intel feeds.
  6. Correlate with Process Behavior: Check if the host process exhibits unusual behavior (network connections, child processes) after loading…
  7. Document and Remediate: Report sideloading instances, quarantine malicious DLLs, and update detection rules.

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Detecting Dll Sideloading Attacks loads about 1.1k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 131 tokens; SKILL.md has 402 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~131
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 402 words, ~1,131 tokens.

Download SKILL.mdSave it as .claude/skills/detecting-dll-sideloading-attacks/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
detecting-dll-sideloading-attacks
description
Detect DLL side-loading and search-order hijacking (MITRE T1574) where adversaries plant malicious DLLs for legitimate signed applications to load, by analyzing Sysmon Event ID 7 DLL-load events, checking signatures/hashes against known-good versions, and flagging path anomalies with EDR tools like CrowdStrike, MDE, or SentinelOne. Use when investigating EDR alerts on unsigned DLLs, hunting for APT persistence via trojanized applications, or triaging incidents involving DLL hijacking.
domain
cybersecurity
subdomain
threat-hunting
tags
threat-hunting, mitre-attack, dll-sideloading, defense-evasion, t1574, edr, proactive-detection
version
1.0
author
mahipal
license
Apache-2.0
d3fend_techniques
File Metadata Consistency Validation, Content Format Conversion, File Content Analysis, Platform Hardening, File Format Verification
nist_csf
DE.CM-01, DE.AE-02, DE.AE-07, ID.RA-05
mitre_attack
T1046, T1057, T1082, T1083, T1027

Detecting DLL Sideloading Attacks

When to Use

  • When investigating potential DLL hijacking in enterprise environments
  • After EDR alerts on unsigned DLLs loaded by signed applications
  • When hunting for APT persistence using legitimate application wrappers
  • During incident response to identify trojanized applications
  • When threat intel indicates DLL sideloading campaigns targeting specific software

Prerequisites

  • EDR with DLL load monitoring (CrowdStrike, MDE, SentinelOne)
  • Sysmon Event ID 7 (Image Loaded) with hash verification
  • Application whitelisting or DLL integrity monitoring
  • Software inventory of legitimate applications and expected DLL paths
  • Code signing verification capabilities

Workflow

  1. Identify Sideloading Targets: Research known vulnerable applications that load DLLs without full path qualification (LOLBAS, DLL-sideload databases).
  2. Monitor DLL Load Events: Query Sysmon Event ID 7 for DLL loads where the DLL path differs from the application's expected directory.
  3. Check DLL Signatures: Flag unsigned or untrusted DLLs loaded by signed executables.
  4. Detect Path Anomalies: Identify legitimate executables running from unusual locations (Temp, AppData, Public) that may be decoy wrappers.
  5. Hash Verification: Compare loaded DLL hashes against known-good versions and threat intel feeds.
  6. Correlate with Process Behavior: Check if the host process exhibits unusual behavior (network connections, child processes) after loading the suspicious DLL.
  7. Document and Remediate: Report sideloading instances, quarantine malicious DLLs, and update detection rules.
Show full SKILL.md (190 more words)Show less

Key Concepts

ConceptDescription
T1574.002DLL Side-Loading
T1574.001DLL Search Order Hijacking
T1574.006Dynamic Linker Hijacking
T1574.008Path Interception by Search Order Hijacking
DLL Search OrderWindows DLL loading priority path
Side-LoadingPlacing malicious DLL where legitimate app loads it
Phantom DLLDLL that legitimate apps try to load but does not exist
DLL ProxyingMalicious DLL forwarding calls to legitimate DLL

Tools & Systems

ToolPurpose
SysmonEvent ID 7 DLL load monitoring
CrowdStrike FalconDLL load detection with process context
Microsoft Defender for EndpointDLL load anomaly detection
Process MonitorReal-time DLL load tracing
DLL Export ViewerVerify DLL export functions
SigcheckDigital signature verification
pe-sievePE analysis for proxied DLLs

Common Scenarios

  1. Legitimate App Wrapper: Adversary copies signed application (e.g., OneDrive updater) to temp folder alongside malicious DLL with same name as expected dependency.
  2. Phantom DLL Exploitation: Malicious DLL placed in PATH location where legitimate app searches for non-existent DLL.
  3. DLL Proxy Loading: Malicious version.dll proxies all exports to real version.dll while executing malicious code on DllMain.
  4. Software Update Hijack: Attacker replaces DLL in update staging directory before legitimate updater loads it.

Output Format

Hunt ID: TH-SIDELOAD-[DATE]-[SEQ]
Technique: T1574.002
Host Application: [Legitimate signed executable]
Sideloaded DLL: [Malicious DLL name and path]
Expected DLL Path: [Where DLL should legitimately be]
DLL Signed: [Yes/No]
App Location: [Expected/Anomalous]
Host: [Hostname]
Risk Level: [Critical/High/Medium/Low]

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/detecting-dll-sideloading-attacks of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Detecting Dll Sideloading Attacks this skillmukul975/Anthropic-Cybersecurity-Skills34k—~1.1kAutomated safety check: PassApache-2.0
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Deepsec Documentation Guidevercel-labs/deepsec8.1k—~956Automated safety check: PassApache-2.0
Skill Scannergetsentry/skills1k4 repos~2.5kAutomated safety check: WarnApache-2.0
Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit4811 repos~3.3kAutomated safety check: PassNone
Security Alert Triageelastic/agent-skills5921 repos~3.5kAutomated safety check: NotesApache-2.0

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Categories

Questions about Detecting Dll Sideloading Attacks

What does Detecting Dll Sideloading Attacks do?

Detect DLL side-loading and search-order hijacking (MITRE T1574) where adversaries plant malicious DLLs for legitimate signed applications to load, by analyzing Sysmon Event ID 7 DLL-load events…. Detecting Dll Sideloading Attacks is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect DLL side-loading and search-order hijacking (MITRE T1574) where adversaries plant malicious DLLs for legitimate signed applications to load, by analyzing Sysmon Event ID 7 DLL-load events, checking signatures/hashes against known-good versions, and flagging path anomalies with EDR tools like CrowdStrike, MDE, or SentinelOne.

When should I use Detecting Dll Sideloading Attacks?

Detecting Dll Sideloading Attacks fits situations like: investigating EDR alerts on unsigned DLLs; hunting for APT persistence via trojanized applications; triaging incidents involving DLL hijacking.

How do I install Detecting Dll Sideloading Attacks in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-dll-sideloading-attacks -a claude-code`. Or copy the skill folder (skills/detecting-dll-sideloading-attacks in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-dll-sideloading-attacks in your project. Claude Code loads it when a task matches its description.

How do I install Detecting Dll Sideloading Attacks in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-dll-sideloading-attacks -a codex`. Or copy the skill folder (skills/detecting-dll-sideloading-attacks in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-dll-sideloading-attacks in your project. Codex loads it when a task matches its description.

Can I use Detecting Dll Sideloading Attacks in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-dll-sideloading-attacks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-dll-sideloading-attacks, .gemini/skills/detecting-dll-sideloading-attacks, .github/skills/detecting-dll-sideloading-attacks and .opencode/skills/detecting-dll-sideloading-attacks in your project.

What does Detecting Dll Sideloading Attacks need to run?

Going by SKILL.md and its folder, Detecting Dll Sideloading Attacks needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Detecting Dll Sideloading Attacks access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Detecting Dll Sideloading Attacks safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Detecting Dll Sideloading Attacks use?

Detecting Dll Sideloading Attacks is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Detecting Dll Sideloading Attacks use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.

What are the alternatives to Detecting Dll Sideloading Attacks?

Skills that share tags, products or a category with Detecting Dll Sideloading Attacks: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Detecting Dll Sideloading Attacks?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.