The Scenario
You're a network security engineer. The DDoS attack started Friday at 2 PM and lasted six hours. By Monday you have 200 attacker IP addresses isolated from the firewall logs, sitting in column A of a Google Sheet. Your task before end of day: file abuse reports with the relevant ISPs. To do that you need the owning organization name and abuse contact information for each IP.
The handoff from the incident responder was clean — just the IPs, one per row. Everything else is on you.
The bad version:
- Look up each IP on ARIN's WHOIS web interface: paste IP, read the block owner, find the abuse email buried in the contact section, copy it manually.
- Repeat 199 more times.
- Realize ARIN only covers North American blocks — many of the attacker IPs resolve to RIPE, APNIC, or LACNIC, each with their own WHOIS portal.
- Switch between four different WHOIS databases depending on IP origin, copying org name and abuse email into the sheet row by row.
By the time you've gone through 50 rows you've spent more time tab-switching than anything else. The remaining 150 IPs still need to be filed.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. Through its IPinfo integration, it can fetch abuse contact details — organization name, country, and region — for your entire IP list in one operation.
Open the SheetXAI sidebar and paste:
For each IP in column A, use IPinfo to fetch the abuse contact organization, country, and region and write them to columns B, C, and D.
What You Get
- Column B: owning organization name (e.g., "AS-CHOOPA" or "Alibaba (US) Technology Co., Ltd.")
- Column C: country code of the IP block owner
- Column D: region
- Rows where no abuse contact is available return empty cells — not errors — so you can spot which IPs need manual WHOIS follow-up
- All 200 rows processed in one operation, no switching between registrar websites
What If the Data Is Not Quite Ready
I need to group IPs by organization to send one report per ISP instead of 200 individual ones
Look up the organization name and country for all IPs in column A using IPinfo. Write organization to column B and country to column C. Then write a summary table to a new tab called "ISP Report Queue" with organization name in column A and a comma-separated list of associated IPs in column B, sorted by IP count descending.
Some IPs appeared in multiple attack waves and have duplicate entries
Column A has 200 attacker IPs but some appear more than once across different attack windows. Deduplicate column A, look up organization name and country via IPinfo, write to columns B and C for every row including duplicates using the deduplicated lookup result, then add a count-per-organization summary below.
I want to flag IPs from high-risk hosting providers separately
Look up organization name and type via IPinfo for all IPs in column A. Write organization to column B and type to column C. In column D, write "Hosting" if the type is "hosting," "ISP" if "isp," and "Other" otherwise. Then group by organization and count IPs per org in a summary on a new tab.
Full pipeline: deduplicate, enrich, group, and prep the report file
Column A has 200 attacker IPs, some duplicated. Deduplicate, look up organization name, abuse country, and region via IPinfo, write to columns B, C, D for all rows. Group by organization on a new tab called "Abuse Reports" with org name, country, and a list of associated IPs per org, sorted by IP count. Flag any org with more than 10 IPs as "Priority" in column D of that tab.
Structure the final output for the filing workflow, not just the lookup.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with attacker or incident-source IP addresses, then ask it to pull abuse contact information from IPinfo so you can file reports without touching a WHOIS portal. See also reverse-DNS hostname resolution or batch geolocation enrichment. Hub: IPinfo + Google Sheets.