AI Lobbying & Fake Intel: The Due Diligence Nightmare of New OffSec Entrants

Just caught the latest KrebsOnSecurity piece regarding the offensive security startup promising millions for zero-days. It’s a grim reminder that the “wild west” era of the vulnerability market isn't over—it’s just getting more sophisticated with actors using assumed names and fake intelligence backgrounds to clean their images.

The article highlights that the individuals involved ran fake intelligence companies and an AI lobbying platform before pivoting to buying exploits for popular software (likely browsers, enterprise VPNs, or remote access tools). When dealing with brokers like this, the technical risk isn't just the vulnerability (e.g., a hypothetical Chrome RCE); it's the provenance. Are they double-dipping? Selling to a nation-state before you?

For due diligence, we need to look beyond the marketing. I threw together a quick script to cross-reference WHOIS data against known "bad" actor registries before engaging any vendor:

import whois
import requests

def check_vendor_domain(domain):
    try:
        w = whois.whois(domain)
        creation_date = w.creation_date
        registrar = w.registrar
        print(f"[*] Domain: {domain}")
        print(f"    - Created: {creation_date}")
        print(f"    - Registrar: {registrar}")
        
        # Logic flag: Domains < 6 months old claiming 5 years industry exp
        if creation_date and (datetime.now() - creation_date).days < 180:
            print("    [!] ALERT: Domain age is suspiciously low for established vendor.")
    except Exception as e:
        print(f"    [X] Error retrieving data: {e}")

# Example usage
check_vendor_domain("suspicious-vendor-example.com")


Beyond OSINT, if you are testing a claimed zero-day for **popular software** (like a browser exploit), ensure your detection logic is sharp even in isolated environments. Here is a generic Sigma rule to catch suspicious process injection often used in PoC validation:

title: Potential Exploit Validation Activity
id: 12345678-1234-1234-1234-123456789012
description: Detects suspicious memory injection patterns often seen during exploit PoC testing
status: experimental
date: 2026/07/30
author: SecurityArsenal
logsource:
    category: process_creation
    product: windows
detection:
    selection:
        Image|endswith:
            - '\powershell.exe'
            - '\cmd.exe'
        CommandLine|contains:
            - 'Invoke-Reflection'
            - 'VirtualAlloc'
    condition: selection
falsepositives:
    - Legitimate developer testing
level: high

How is your organization handling supply chain validation for offensive tools? Are you vetting the people as hard as the code?