3. Validate and classify the line
Run verification on the phone number with IPQualityScore, NumLookup, or Twilio Lookup. Three things you can immediately know:
- Is the number active?
- Who owns the line?
- Is it a mobile, landline or VoIP number?
If the number you’re researching resolves out to VoIP, prepare for a different set of returns downstream. VoIP numbers are easily tossed aside as they are usually disposable and have little association to actual identity.
4. Search the open web
Search Google and Bing with the number in quotes. Try different permutations: Include and exclude the country code. Add hyphens, parentheses, and dots. People often copy/paste their number on resumes, Craigslist, wiki pages, directory listings, personal blogs, forum signatures, and about us pages. Quoting the string forces an exact match and will pull up results that a broad search won’t.
5. Explore messaging apps
WhatsApp displays the user’s profile picture and status message if they have added one. Telegram displays usernames and when the person was last online if their discovery feature is turned on. Signal lets you know if the number is registered with them.
Viber, Skype and BOTIM are also useful platforms to check in countries where they’re popular. Add the number to your research contacts list, launch each app and take screenshots of everything right away. People have the ability to change these photos at any time, or prevent certain people from viewing them.
6. Run dedicated phone OSINT tools
Open source tools pull intelligence for you across multiple sources at once. Some of the top free tools for reverse phone lookup in OSINT are PhoneInfoga, NumLookup, IPQualityScore, Truecaller, and Epieos. PhoneInfoga is an international number command line scanner that automatically queries carrier info and search-engine fingerprints. Epieos and other advanced tools run hosted platforms that verify phone numbers against dozens of databases. See our directory of OSINT tools for more.
7. Cross reference social and identity graphs
Run any usernames, profile photos, or display names you’ve collected from steps 1-4 through reverse image searches, username lookup tools like Namechk and identity correlation platforms like ShadowDragon® Horizon®. Searching a WhatsApp profile image on Google Lens or PimEyes can connect the phone number to a LinkedIn profile, dating profile or a decades-old avatar from an ancient forum. This is where investigations start going from singular identifier collection to compiling a subject map.
8. Check breach and leak data
Phone numbers are commonly shared during data breaches alongside email addresses, plaintext usernames, and historical account data. Searching through breach finders associates the phone number with prior accounts and confirms whether the pattern you’re uncovering aligns with information someone may be trying to hide with their public social media profiles. Respect privacy laws regarding breach data depending on where the breach occurred and where your investigation is being conducted.
9. Document everything as you go
Take screenshots with dates/times and source URLs. Hash anything you download. Integrity matters when you’re trying to provide evidence. Hunchly does this automatically for browser-based research, and it creates a chain that will stand up to scrutiny. Notes made after-the-fact are notes you can’t justify.
10. Validate before you conclude
Cross-reference your attribution. Make sure the phone number belongs to that person via two independent methods before adding it to your data. A WhatsApp profile image that matches a publicly available LinkedIn profile image is good. A phone number found in one people finder with no external confirmation is weak.