Firmware Security Reports
OrbitCurve/firmware-reverse-engineering
Evidence-based security report generation for firmware assessments.
Agent skill
Identifies and unpacks UPX-packed malware samples, including binaries with modified UPX magic bytes or headers that block automated decompression, to recover the original executable for static…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-packed-malware-with-upx-unpacker --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-packed-malware-with-upx-unpacker .claude/skills/analyzing-packed-malware-with-upx-unpacker && rm -rf skills-srcUse ~/.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/
Install the "analyzing-packed-malware-with-upx-unpacker" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-packed-malware-with-upx-unpacker into .claude/skills/analyzing-packed-malware-with-upx-unpacker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-packed-malware-with-upx-unpacker", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-packed-malware-with-upx-unpackerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-packed-malware-with-upx-unpacker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analyzing-packed-malware-with-upx-unpacker .agents/skills/analyzing-packed-malware-with-upx-unpacker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyzing-packed-malware-with-upx-unpacker" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-packed-malware-with-upx-unpacker into .agents/skills/analyzing-packed-malware-with-upx-unpacker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-packed-malware-with-upx-unpacker", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-packed-malware-with-upx-unpacker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analyzing-packed-malware-with-upx-unpacker .cursor/skills/analyzing-packed-malware-with-upx-unpacker && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "analyzing-packed-malware-with-upx-unpacker" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-packed-malware-with-upx-unpacker into .cursor/skills/analyzing-packed-malware-with-upx-unpacker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-packed-malware-with-upx-unpacker", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/analyzing-packed-malware-with-upx-unpacker--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-packed-malware-with-upx-unpacker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analyzing-packed-malware-with-upx-unpacker .gemini/skills/analyzing-packed-malware-with-upx-unpacker && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "analyzing-packed-malware-with-upx-unpacker" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-packed-malware-with-upx-unpacker into .gemini/skills/analyzing-packed-malware-with-upx-unpacker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-packed-malware-with-upx-unpacker", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-packed-malware-with-upx-unpackerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analyzing-packed-malware-with-upx-unpacker .github/skills/analyzing-packed-malware-with-upx-unpacker && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-packed-malware-with-upx-unpacker" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-packed-malware-with-upx-unpacker into .github/skills/analyzing-packed-malware-with-upx-unpacker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-packed-malware-with-upx-unpacker", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-packed-malware-with-upx-unpacker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analyzing-packed-malware-with-upx-unpacker .opencode/skills/analyzing-packed-malware-with-upx-unpacker && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-packed-malware-with-upx-unpacker" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-packed-malware-with-upx-unpacker into .opencode/skills/analyzing-packed-malware-with-upx-unpacker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-packed-malware-with-upx-unpacker", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
analyzing-packed-malware-with-upx-unpackerIdentifies and unpacks UPX-packed malware samples, including binaries with modified UPX magic bytes or headers that block automated decompression, to recover the original executable for static…
Analyzing Packed Malware With Upx Unpacker is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Identifies and unpacks UPX-packed malware samples, including binaries with modified UPX magic bytes or headers that block automated decompression, to recover the original executable for static analysis. Use when a sample shows high entropy, minimal imports, or only LoadLibrary/GetProcAddress in its import table, or when preparing a packed binary for disassembly in Ghidra or IDA.
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Security, covering Static analysis and SAST and Reverse engineering and malware. It works with Ghidra. 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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3aptFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
upx.github.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Analyzing Packed Malware With Upx Unpacker loads about 3k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 650 words of instructions outside code blocks.
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.
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.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 650 words, ~2,957 tokens.
.claude/skills/analyzing-packed-malware-with-upx-unpacker/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Do not use when dealing with custom packers, VM-based protectors (Themida, VMProtect), or samples where dynamic unpacking via debugging is more appropriate.
apt install upx-ucl or download from https://upx.github.io/)pefile library for manual header repairDetermine if the sample is packed and identify the packer:
# Check with Detect It Easy
diec suspect.exe
# Check with UPX (test without unpacking)
upx -t suspect.exe
# Python-based entropy and packer detection
python3 << 'PYEOF'
import pefile
import math
pe = pefile.PE("suspect.exe")
print("Section Analysis:")
for section in pe.sections:
name = section.Name.decode().rstrip('\x00')
entropy = section.get_entropy()
raw = section.SizeOfRawData
virtual = section.Misc_VirtualSize
print(f" {name:8s} Entropy: {entropy:.2f} Raw: {raw:>8} Virtual: {virtual:>8}")
# Check for UPX section names
section_names = [s.Name.decode().rstrip('\x00') for s in pe.sections]
if 'UPX0' in section_names or 'UPX1' in section_names:
print("\n[!] UPX section names detected")
elif '.upx' in [s.lower() for s in section_names]:
print("\n[!] UPX variant section names detected")
# Check import count (packed binaries have very few)
if hasattr(pe, 'DIRECTORY_ENTRY_IMPORT'):
total_imports = sum(len(e.imports) for e in pe.DIRECTORY_ENTRY_IMPORT)
print(f"\nTotal imports: {total_imports}")
if total_imports < 10:
print("[!] Very few imports - likely packed")
else:
print("\n[!] No import directory - heavily packed")
PYEOFTry the built-in UPX decompression:
# Standard UPX decompress
upx -d suspect.exe -o unpacked.exe
# If UPX fails with "not packed by UPX" error, the headers may be modified
# Verbose output for debugging
upx -d suspect.exe -o unpacked.exe -v 2>&1
# Verify the unpacked file
file unpacked.exe
diec unpacked.exeIf standard decompression fails, repair tampered magic bytes:
# Repair modified UPX headers
import struct
with open("suspect.exe", "rb") as f:
data = bytearray(f.read())
# UPX magic bytes: "UPX!" (0x55505821)
# Malware authors commonly modify these to prevent automatic unpacking
# Search for modified UPX signatures
upx_magic = b"UPX!"
modified_patterns = [b"UPX0", b"UPX\x00", b"\x00PX!", b"UPx!"]
# Find and restore section names
pe_offset = struct.unpack_from("<I", data, 0x3C)[0]
num_sections = struct.unpack_from("<H", data, pe_offset + 6)[0]
section_table_offset = pe_offset + 0x18 + struct.unpack_from("<H", data, pe_offset + 0x14)[0]
print(f"PE offset: 0x{pe_offset:X}")
print(f"Number of sections: {num_sections}")
print(f"Section table offset: 0x{section_table_offset:X}")
for i in range(num_sections):
offset = section_table_offset + (i * 40)
name = data[offset:offset+8]
print(f"Section {i}: {name}")
# Restore UPX magic bytes in the binary
# Search for the UPX header signature location (typically near the end of packed data)
for i in range(len(data) - 4):
if data[i:i+3] == b"UPX" and data[i+3] != ord("!"):
print(f"Found modified UPX magic at offset 0x{i:X}: {data[i:i+4]}")
data[i:i+4] = b"UPX!"
print(f"Restored to: UPX!")
# Also restore section names if modified
for i in range(num_sections):
offset = section_table_offset + (i * 40)
name = data[offset:offset+8].rstrip(b'\x00')
if name in [b"UPX0", b"UPX1", b"UPX2"]:
continue # Already correct
# Check for common modifications
if name.startswith(b"UP") or name.startswith(b"ux"):
original = f"UPX{i}".encode().ljust(8, b'\x00')
data[offset:offset+8] = original
print(f"Restored section name at 0x{offset:X} to {original}")
with open("suspect_fixed.exe", "wb") as f:
f.write(data)
print("\nFixed file written. Retry: upx -d suspect_fixed.exe -o unpacked.exe")When automated unpacking fails entirely, use dynamic unpacking:
Manual UPX Unpacking with x64dbg:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. Load packed sample in x64dbg
2. Run to the entry point (system breakpoint then F9)
3. UPX unpacking stub pattern:
a. PUSHAD (saves all registers)
b. Decompression loop (processes packed sections)
c. Resolves imports (LoadLibrary/GetProcAddress calls)
d. POPAD (restores registers)
e. JMP to OEP (original entry point)
4. Set hardware breakpoint on ESP after PUSHAD:
- After PUSHAD, right-click ESP in registers -> Follow in Dump
- Set hardware breakpoint on access at [ESP] address
- Run (F9) - breaks at POPAD before JMP to OEP
5. Step forward (F7/F8) until you reach the JMP to OEP
6. At OEP: Use Scylla plugin to dump and fix imports:
- Plugins -> Scylla -> OEP = current EIP
- Click "IAT Autosearch" -> "Get Imports"
- Click "Dump" to save unpacked binary
- Click "Fix Dump" to repair import tableVerify the unpacked sample is valid and complete:
# Verify unpacked PE is valid
python3 << 'PYEOF'
import pefile
pe = pefile.PE("unpacked.exe")
# Check sections are normal
print("Unpacked Section Analysis:")
for section in pe.sections:
name = section.Name.decode().rstrip('\x00')
entropy = section.get_entropy()
print(f" {name:8s} Entropy: {entropy:.2f}")
# Verify imports are resolved
print(f"\nImport count:")
if hasattr(pe, 'DIRECTORY_ENTRY_IMPORT'):
for entry in pe.DIRECTORY_ENTRY_IMPORT:
dll = entry.dll.decode()
count = len(entry.imports)
print(f" {dll}: {count} functions")
total = sum(len(e.imports) for e in pe.DIRECTORY_ENTRY_IMPORT)
print(f" Total: {total} imports")
# Compare file sizes
import os
packed_size = os.path.getsize("suspect.exe")
unpacked_size = os.path.getsize("unpacked.exe")
print(f"\nPacked: {packed_size:>10} bytes")
print(f"Unpacked: {unpacked_size:>10} bytes")
print(f"Ratio: {unpacked_size/packed_size:.1f}x")
PYEOF| Term | Definition |
|---|---|
| Packing | Compressing or encrypting executable code to reduce file size and hinder static analysis; the binary contains an unpacking stub that restores code at runtime |
| UPX | Ultimate Packer for eXecutables; open-source executable packer commonly abused by malware authors because it is free and effective |
| Original Entry Point (OEP) | The real starting address of the malware code before packing; the unpacking stub decompresses code then jumps to the OEP |
| Import Reconstruction | Process of rebuilding the import address table after dumping an unpacked process from memory using tools like Scylla or ImpRec |
| PUSHAD/POPAD | x86 instructions that save/restore all general-purpose registers; UPX uses this pattern to preserve register state during unpacking |
| Section Entropy | Randomness measure of PE section data; packed sections show entropy > 7.0 while normal code sections average 5.0-6.5 |
| Magic Bytes | Signature bytes within a file identifying its format; UPX uses "UPX!" which malware authors modify to prevent automated decompression |
Context: A malware sample is identified as UPX-packed by section names (UPX0, UPX1) but upx -d fails with "CantUnpackException: header corrupted". The malware author modified the UPX magic bytes to prevent automated decompression.
Approach:
upx -d on the repaired binaryPitfalls:
UNPACKING ANALYSIS REPORT
===========================
Sample: suspect.exe
SHA-256: e3b0c44298fc1c149afbf4c8996fb924...
Packer: UPX 3.96 (modified headers)
PACKED BINARY
Sections: UPX0 (entropy: 0.00) UPX1 (entropy: 7.89) .rsrc (entropy: 3.45)
Imports: 2 (kernel32.dll: LoadLibraryA, GetProcAddress)
File Size: 98,304 bytes
UNPACKING METHOD
Method: Header repair + UPX -d
Header Fix: Restored UPX! magic at offset 0x1F000
Command: upx -d suspect_fixed.exe -o unpacked.exe
Result: SUCCESS
UNPACKED BINARY
Sections: .text (entropy: 6.21) .rdata (entropy: 4.56) .data (entropy: 3.12) .rsrc (entropy: 3.45)
Imports: 147 (kernel32, user32, advapi32, wininet, ws2_32)
File Size: 245,760 bytes (2.5x expansion)
OEP: 0x00401000
VALIDATION
PE Valid: Yes
Imports Resolved: Yes (147 functions across 8 DLLs)
Executable: Yes (runs without crash in sandbox)
NEXT STEPS
- Import unpacked.exe into Ghidra for full disassembly
- Run YARA rules against unpacked binary
- Submit unpacked binary to VirusTotal for improved detection© 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
SKILL.md and 3 other files (scripts, references) in skills/analyzing-packed-malware-with-upx-unpacker of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Analyzing Packed Malware With Upx Unpacker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Analyzing Packed Malware With Upx Unpacker this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Firmware Security ReportsOrbitCurve/firmware-reverse-engineering | 216 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Binary Reaiskillstore/marketplace | 433 | 1 repos | ~2.6k | Automated safety check: Pass | None | |
| Rea Tool Designmorluto/rea | 80k | — | ~239 | Automated safety check: Pass | MIT | |
| Ghidra ReOrbitCurve/firmware-reverse-engineering | 216 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Bench ExperimentDavidClawson/OpenScope-2C53T | 116 | — | ~1k | Automated safety check: Pass | GPL-3.0 |
OrbitCurve/firmware-reverse-engineering
Evidence-based security report generation for firmware assessments.
aiskillstore/marketplace
This skill should be used when analyzing binaries, executables, or bytecode to understand what they do or how they work.
morluto/rea
Design or change REA investigation tools, CLI/MCP contracts, provider capabilities, and Evidence semantics.
OrbitCurve/firmware-reverse-engineering
Expert-level Ghidra reverse engineering for firmware binaries with emphasis on stripped binary analysis, automated function discovery, cryptographic routine identification, authentication logic…
DavidClawson/OpenScope-2C53T
Run and record a hardware experiment on the 2C53T bench using a controlled five-step cycle.
zhaoxuya520/reverse-skill
A skill your agent uses for reverse engineering stripped Go and Rust binaries including runtime recognition, pclntab/moduel data recovery, panic strings, and idiomatic decompilation recovery.
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Works with
Categories
Identifies and unpacks UPX-packed malware samples, including binaries with modified UPX magic bytes or headers that block automated decompression, to recover the original executable for static…. Analyzing Packed Malware With Upx Unpacker is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Identifies and unpacks UPX-packed malware samples, including binaries with modified UPX magic bytes or headers that block automated decompression, to recover the original executable for static analysis.
Analyzing Packed Malware With Upx Unpacker fits situations like: A sample shows high entropy; minimal imports; only LoadLibrary/GetProcAddress in its import table; preparing a packed binary for disassembly in Ghidra.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a claude-code`. Or copy the skill folder (skills/analyzing-packed-malware-with-upx-unpacker in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-packed-malware-with-upx-unpacker in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a codex`. Or copy the skill folder (skills/analyzing-packed-malware-with-upx-unpacker in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-packed-malware-with-upx-unpacker in your project. Codex loads it when a task matches its description.
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 analyzing-packed-malware-with-upx-unpacker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-packed-malware-with-upx-unpacker, .gemini/skills/analyzing-packed-malware-with-upx-unpacker, .github/skills/analyzing-packed-malware-with-upx-unpacker and .opencode/skills/analyzing-packed-malware-with-upx-unpacker in your project.
Going by SKILL.md and its folder, Analyzing Packed Malware With Upx Unpacker needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and apt). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: upx.github.io. This is read from the text; nothing was executed.
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.
Analyzing Packed Malware With Upx Unpacker 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.
About 3k tokens (SKILL.md is roughly 12k 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 786 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Analyzing Packed Malware With Upx Unpacker: Firmware Security Reports (OrbitCurve/firmware-reverse-engineering, 216 stars), Binary Re (aiskillstore/marketplace, 433 stars), Rea Tool Design (morluto/rea, 80k stars) and Ghidra Re (OrbitCurve/firmware-reverse-engineering, 216 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 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.