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Introduction:
In the high-stakes world of cybersecurity, the most effective defensive strategies often begin not with a firewall or a patch, but with a deep, almost curious understanding of the adversary and the business landscape. Liam Smith’s philosophy on sales—emphasizing curiosity and understanding before pitching—is a powerful metaphor for modern cybersecurity. Just as trust is built by making a client feel understood, security is fortified by understanding the digital footprint and attack surface of an organization before deploying solutions. This article explores how this “curiosity-first” approach translates into actionable technical strategies, blending Open Source Intelligence (OSINT), AI-driven analysis, and systematic hardening to build resilient IT environments.
Learning Objectives:
- Master the application of OSINT techniques to map organizational attack surfaces and understand adversarial perspectives.
- Implement a risk-based framework that prioritizes relationship-building between IT teams and business units through shared understanding.
- Utilize practical Linux/Windows commands and AI tools to automate threat intelligence gathering and vulnerability mitigation.
1. Building the OSINT Profile: Your Curiosity Engine
The first step in a “curiosity-first” security model is reconnaissance. You cannot protect what you do not know, and you cannot understand an attacker’s motivation without studying their methods. OSINT is the art of gathering publicly available information to build a profile of an organization and potential threats. This is the technical equivalent of learning about a client’s business before the first meeting.
Step‑by‑step guide:
- DNS Reconnaissance: Use `dig` on Linux to query DNS records. Run `dig example.com ANY` to see all available DNS records, which can reveal subdomains and potential attack vectors.
- Email Harvesting: Use tools like `theHarvester` on Kali Linux to gather email addresses:
theHarvester -d example.com -b google. - Shodan Queries: Use Shodan to discover internet-connected devices. A query like `org:”Example Organization”` will list all publicly exposed assets.
- Metadata Analysis: Use `exiftool` to read metadata from publicly available documents:
exiftool -a -u document.pdf. This can reveal internal usernames or software versions.
2. Windows Active Directory Enumeration: Understanding the Terrain
To build trust in your internal network, you must first understand its structure and vulnerabilities. This section focuses on enumerating Active Directory (AD) environments to identify weak links, mirroring the due diligence required in client relationships.
Step‑by‑step guide:
- PowerShell Script for Users: Run `Get-ADUser -Filter -Properties | Select-Object Name, SamAccountName, PasswordLastSet, LastLogonDate | Export-Csv -Path C:\temp\ADUsers.csv` to enumerate all users and identify those who haven’t logged in recently—a potential indicator of stale accounts.
- PowerShell Script for Groups: Use `Get-ADGroup -Filter | Select-Object Name, GroupCategory, GroupScope` to list all security groups, helping identify privileged groups like “Domain Admins.”
- Check for SPNs: Run `setspn -T domain.local -Q /` to find Service Principal Names, which are prime targets for Kerberoasting attacks.
3. AI-Powered Phishing Simulation (Social Engineering Tool)
Just as sales build trust through understanding, attackers build deception through meticulous research. AI can now generate hyper-personalized phishing campaigns that mimic these relationship-building tactics. As defenders, we must learn to simulate these attacks to train employees.
Step‑by‑step guide (using GoPhish & AI text):
- Setup GoPhish: Install GoPhish on a Linux VM: `wget https://github.com/gophish/gophish/releases/download/v0.12.1/gophish-v0.12.1-linux-64bit.zip` and unzip. Run `./gophish` to start the admin console on port 3333.
- AI Content Generation: Use an API (e.g., OpenAI) to generate a convincing email body. For example, a script can request: “Write a short, professional email asking for a password reset, referencing a fake recent company update.”
- Landing Page Clone: Use `wget -m` to clone a login page: `wget -m –convert-links –page-requisites -P /var/www/html/ https://example.com/login`.
– Campaign Launch: Upload the AI-generated text and cloned page to GoPhish and target a test group, then analyze click/open rates.4. Linux Privilege Escalation: Trust but Verify
Understanding how an attacker moves laterally is crucial. Linux misconfigurations often allow a standard user to gain root access. This section uses the “curiosity” lens to audit the system.
Step‑by‑step guide:
– SUID Binaries: Find all files with the SUID bit set: `find / -perm -4000 -type f 2>/dev/null
. This identifies executables that run with the owner's privileges. Unusual SUID binaries (like `vim` ornano`) can be exploited for privilege escalation. - Writable Schedules: Check for cron jobs:
cat /etc/crontab. If a script in `/etc/cron.hourly/` is writable by the current user, we can add a reverse shell. - Kernel Exploits: Check the kernel version:
uname -a. Run `searchsploit` to check for known exploits:searchsploit -x linux/kernel/. - Sudo Misconfig: Check sudo rights for the current user:
sudo -l. If you see(ALL) NOPASSWD: /usr/bin/python, you can use Python to spawn a shell (python -c 'import pty;pty.spawn("/bin/bash")').
5. API Security & Hardening (REST API)
APIs are the “sales conversations” of the digital world—they connect services and transmit data. Trust in an API is established through secure tokens and strict verification.
Step‑by‑step guide:
- Rate Limiting: Implement rate limiting on Nginx (reverse proxy) to prevent brute force attacks. Add `limit_req_zone $binary_remote_addr zone=mylimit:10m rate=10r/s;` to your
nginx.conf. - JWT Hardening: Ensure your JWT tokens use a strong algorithm. Python command to decode and verify:
jwt.decode(token, 'secret', algorithms=['HS256']). Ensure `HS256` is not used if `RS256` is more secure; check algorithms on the server. - Input Validation: Use regex to sanitize input. For Python Flask, use:
from flask import request; allowed = re.match("^[a-zA-Z0-9]$", request.args.get('param')). - TLS Config Check: Test TLS vulnerabilities using
testssl.sh: `./testssl.sh https://api.example.com`.
6. Cloud Hardening for AWS (The Relationship Infrastructure)
Managing cloud infrastructure is like managing a client relationship; you need visibility, access control, and a response plan.
Step‑by‑step guide:
– S3 Bucket Permissions: Run a script to check public buckets: `aws s3api list-buckets –query “Buckets[].Name”` and then `aws s3api get-bucket-acl –bucket BUCKET_NAME` to check if `AllUsers` have read access.
- IAM User Audit: List all IAM users and their policies: `aws iam list-users` and
aws iam list-attached-user-policies --user-1ame USERNAME. Follow the principle of least privilege. - EC2 Security Groups: List inbound SSH rules:
aws ec2 describe-security-groups --query 'SecurityGroups[].[GroupName, IpPermissions[?ToPort==22]]'. Ensure 0.0.0.0/0 is not allowed for SSH. - Enable CloudTrail: Ensure logging is on:
aws cloudtrail describe-trails. If not, enable logging to detect anomalies.
7. Incident Response with AI (The Pivot)
When a breach occurs, it’s the ultimate test of trust. AI can help speed up the investigation process by analyzing logs faster than a human can.
Step‑by‑step guide:
- Log Analysis: Use `grep` and `awk` to parse Apache logs: `cat access.log | grep “404” | awk ‘{print $1}’ | sort | uniq -c | sort -1r` to find suspicious IPs.
- Automated Malware Analysis: Use `strings suspicious_file.exe | grep -i “http”` to quickly find C2 callbacks, and feed the string output into an AI classifier to determine if the host is malicious.
- Network Traffic: Use `tcpdump` to capture traffic:
tcpdump -i eth0 -w capture.pcap. Use `tshark` to filter:tshark -r capture.pcap -Y "http.request" -T fields -e ip.src -e http.user_agent. - Endpoint Response: Use Sysinternals on Windows (
autoruns.exeto check startup items, `procexp.exe` for process trees) to trace the root cause.
What Undercode Say:
- Key Takeaway 1: The most sophisticated security tools are useless without a proactive, curious mindset that seeks to understand the business context and adversary logic. OSINT and relationship building are two sides of the same coin—understanding.
- Key Takeaway 2: Automation (via AI and scripting) must be paired with human verification. Commands and scripts help us scale trust-building, but a false positive or a misconfigured firewall can break the trust of the organization in its security team.
- Analysis: Liam’s post emphasizes “understanding before pitching.” In security, this translates to “reconnaissance before locking down.” We must stop selling “firewalls” and start selling “business continuity.” The commands listed above aren’t just technical checkboxes; they are the digital equivalent of listening to the client’s challenges. Furthermore, the rise of AI-generated phishing highlights that while trust is the key to sales, it is also the primary vulnerability in human-centric security. The future of cybersecurity lies in using AI to defend against AI-driven social engineering, creating a cycle where curiosity about the threat landscape directly informs defense. Ultimately, the relationship between the CISO and the CEO, and the security analyst and the developer, must be rooted in the same curiosity that drives business growth.
Prediction:
- +1: The integration of AI with OSINT will lead to “Predictive Trust” tools, allowing IT teams to anticipate business needs and security gaps before they become critical, significantly reducing incident response times.
- +1: Curiosity-driven security will evolve into a formal framework (e.g., “Hyper-Contextual Security”), where systems automatically adjust security policies based on user behavior and business context, minimizing friction.
- -1: As AI becomes more adept at mimicking human curiosity, social engineering attacks will become hyper-personalized, bypassing traditional email filters and targeting the emotional vulnerabilities of executives.
- -1: The explosion of publicly accessible data (amplified by AI aggregators) will make OSINT reconnaissance easy for script-kiddies, leading to a surge in data breaches stemming from misconfigured cloud storage buckets and exposed APIs.
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