10 KRIs, 130+ sources, ~30 pages + annex.

Every IntelMind Cyber DD dossier covers the same ten Key Risk Indicators (KRIs) calculated over 130+ public sources with an outside-in methodology. No touching the target company's systems, no legal risk. Raw, verified data with its source documented: you bring the judgment and the signature.

10
KRI indicators
130+
Public sources
5min
Delivery time
~30pp
Pages + sources annex

The 10 Key Risk Indicators

01Executive (C-suite) exposure

Identity and digital exposure of executives: corporate emails detected via Hunter.io, presence in data brokers (ThatsThem, Webmii), public exposure susceptible to spear-phishing.

02Breaches and leaked credentials

Passwords, hashes and sensitive employee data found on HIBP, HudsonRock, LeakCheck, DeHashed and dumps sold on underground markets.

03DNS hygiene and email configuration

Status of SPF, DKIM, DMARC, MTA-STS, BIMI. Detection of orphaned subdomains vulnerable to takeover (dangling CNAME).

04Perimeter security / EASM

External inventory of exposed IPs and services. Detection of critical open ports, vulnerable software, weak configurations via Shodan, Censys, Netlas.

05Reputation and media crisis

Press coverage of past cyber incidents, lawsuits, fines, leaks, ransomware via GDELT, Google News and Brave Search. AI-driven timeline and sentiment analysis.

06Sanctions and litigation

Screening against OFAC, UN, UK HMT, EU, AEPD, CNMV, CNMC, BORME/BOE, ICIJ Offshore Leaks, Aleph OCCRP.

07Supply chain risk

Critical technology vendors publicly identified via BuiltWith. Cross-check of each vendor against known breach databases (inherited risk).

08Typosquatting and malicious infrastructure

Lookalike domains registered mimicking the target (IDN/Punycode homoglyphs). Cross-checked with VirusTotal, PhishTank and URLhaus. Active phishing detected against customers/employees.

09Shadow IT and code leaks

Secrets (API keys, credentials, .env files) leaked in public GitHub, GitLab, StackOverflow repositories, paste sites. 11 trufflehog-style patterns (AWS, Slack, Stripe, PEM, etc.).

10Dark web intelligence

Target mentions on .onion forums via Ahmia, IAB (Initial Access Broker) marketplaces, IntelX repositories, active leak sites.

Every KRI includes

How the dossier is structured

The PDF runs to about 30 pages plus the sources annex, and it reads top-down: you can stop after the first two pages or follow any finding all the way to its evidence.

  1. Cover and identification: target company, report ID, issue date and the custody data that lets anyone check the file has not been altered.
  2. Executive summary: a single page for the investment committee with the global score, how serious the risk is and the three KRIs that need attention first.
  3. Ten KRI cards: one short card per indicator with what was found, what it could mean for the deal and what to do about it.
  4. Detailed findings: the technical evidence behind each card, its estimated economic impact and a tailored recommendation.
  5. Sources annex: the public URL behind every finding, so your team, the seller or an arbitrator can verify it independently.
  6. Methodology and custody: how the data was collected, the SHA-256 hash of the file and its RFC 3161 timestamp issued by FreeTSA, with instructions to verify both.

Outside-in: what the dossier checks and what it does not

Everything in the report comes from public sources and from data that internet-wide services such as Shodan, Censys and Netlas have already indexed. We never log in to the target company systems or run intrusive tests against them, and the target is not notified. That is why the analysis can run before an LOI, or in a deal where the seller does not cooperate.

It also sets the limits of the product. The dossier is not a penetration test or an internal audit: it cannot see patch levels behind the firewall, internal policies or incident logs. What it gives you is an evidence-based view of the risk that anyone on the internet can see, which is also what an attacker sees first. When the deal reaches confirmatory due diligence with data-room access, use the findings to decide where the technical review should dig.

How each indicator feeds the deal

Every finding carries one of three priorities, and they follow the stages of a transaction:

Because every dossier measures the same ten indicators, you can also compare targets on a like-for-like basis when you screen several at once. See who Cyber DD is for and download the anonymized sample dossier to check the depth before you order.

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