Bulk-report abusive IPs to AbuseIPDB from server logs

Paste raw log lines or a list of blocked IPs, check every address for existing abuse reports, assign categories, and file the whole batch in one reviewed pass.

App
AbuseIPDBSlack BotEngineeringOperationsResearch & MonitoringDocument Processing
PromptCreate

I want an abuse reporting desk: an internal app where my security team turns raw server logs into properly filed AbuseIPDB reports, instead of the one-off script nobody maintains. It is built on AbuseIPDB, with Slack Bot for team notifications. This is a write-heavy batch filing surface, not a single-address investigation tool.

The app opens on an intake view where I can paste raw log lines straight from fail2ban, sshd, or a firewall log, or upload a log or CSV file. Parse every IPv4 and IPv6 address out of the text along with the timestamp on the same line, then group by address so repeated hits collapse into a single row carrying an occurrence count plus first-seen and last-seen timestamps. Show a parse summary before I continue: addresses found, lines skipped because no address or usable timestamp could be read, and any private or reserved ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16, 127.0.0.0/8, and the IPv6 equivalents), which should be flagged and excluded by default so nobody reports their own infrastructure.

As soon as parsing finishes, pre-check every unique address with AbuseIPDB Check IP Reputation and fill in the current abuse confidence score, total reports on file, number of distinct reporters, country, ISP, domain, and usage type. Run these with a progress indicator and a live count of how many requests the batch has consumed. Let me set a skip threshold, defaulting to addresses already at a maximum score with a large number of existing reports, and auto-deselect those rows since another report adds nothing.

The main surface is a review table, one row per address, with columns for the address, occurrence count, first and last seen, the pre-check score and existing report count, assigned categories, comment, submission status, and result. Rows are selectable, sortable by score or hit count, and filterable by status so I can work through the blocked and held rows separately from the ready ones.

I assign abuse categories per row from a picker, or select many rows and bulk-apply a set at once. Offer the categories we use most as presets: Brute-Force (18), SSH (22), Port Scan (14), DDoS Attack (4), and Email Spam (10), and submit them as the comma-separated integer category IDs the provider expects. Alongside that I write one shared comment template applied to every selected row, supporting placeholders such as the occurrence count, the log source, and the last-seen time, so each report says something specific rather than repeating identical text.

Put a persistent warning next to the comment editor: AbuseIPDB reports are public, so no customer names, email addresses, internal hostnames, or other private data belongs in a report comment. Scan comment text for anything that looks like an email address or personal detail and flag the row before it can be submitted.

Submitting routes automatically based on batch size. For a large selection, build the CSV and submit it with AbuseIPDB Bulk Report IPs, which takes a multipart upload with the file field named csv. For one row or a handful, use AbuseIPDB Report IP per row, which is form-encoded rather than JSON. Either way, write the outcome back into each row: accepted, rejected with the provider's reason, or skipped, and keep the returned confidence score where one comes back.

Bake the provider's rules into the UI so nothing fails silently, because these are exactly what naive scripts get wrong. A CSV batch must stay under 8 MB and no more than 10,000 lines including the heading row, so chunk anything larger into sequential submissions and show me how it was split. Timestamps must not be older than two months, so flag stale rows with their exact age and let me drop them in one click rather than letting them sink the whole batch. The same address can only be reported once every 15 minutes per account, so track what this app has already submitted and hold repeat rows with a countdown. Within a 24 hour window, a repeat report carrying the same comment silently creates no new report at all, so warn me when a comment matches one already sent for that address. Free accounts get 1,000 requests per day across checks and reports, so keep a visible allowance counter and warn before a batch would exceed what is left.

Add a button that posts a batch summary to our security channel using Slack Bot Send a Message: how many addresses were filed, the category breakdown, the highest-scoring offenders, anything rejected or held back, and who ran the batch. Let me choose the channel and edit the message before it goes out.

Give me a way to withdraw a mistake. From any submitted row, a withdraw action calls AbuseIPDB Clear Address Reports for that address, behind a confirmation that spells out that this only removes reports my own account filed and cannot touch anyone else's. Mark the row as withdrawn afterward and keep it in the record rather than deleting it.

Persist batches so this is a shared desk rather than a scratchpad. Save each batch with its rows, category assignments, comments, submission results, and who submitted it, and keep a history view listing past batches with their date, size, and outcome, so anyone on the team can open an old batch, see exactly what was filed, and withdraw from it later.

What does this prompt do?

  • Paste raw server log lines or upload a list of blocked addresses, and the desk pulls out every IP address and timestamp, merges repeats into one row, and counts how often each address hit you.
  • Every address is checked against AbuseIPDB before you file anything, so you can see its current abuse score, country, and provider, and skip the ones already reported into the ground.
  • Assign abuse categories row by row or to a whole selection at once, attach a shared comment, and submit in one pass, with the outcome written back next to each address.
  • Built-in guardrails catch the things that make homegrown scripts fail silently: entries that are too old to accept, addresses you already filed minutes ago, duplicate comments, and batches too large to submit in one go.

What do I need to use this?

  • An AbuseIPDB account and its API key. The free tier works and allows up to 1,000 checks and reports per day.
  • Server logs or a list of offending IP addresses, from fail2ban or any firewall, SSH, or web access log.
  • A Slack workspace, if you want batch summaries posted to your security channel.

How can I customize it?

  • Set your own skip rule, so anything already scoring above your chosen threshold or carrying hundreds of existing reports is left out automatically.
  • Change the default abuse categories and the shared comment template your team attaches to every report.
  • Pick which Slack channel receives the batch summary, or turn the summary off entirely.
  • Adjust the batch size where the desk switches from filing addresses one at a time to submitting them as a single upload.

FAQs

Will this work with a free AbuseIPDB account?
Yes. Free accounts can check and report up to 1,000 addresses a day. The desk keeps a running count as you work, so you can see how much of the day's allowance is left before committing to a large batch.
What happens if my log entries are older than two months?
AbuseIPDB will not accept them. The desk flags those rows before you submit and lets you drop them in one click, so the rest of the batch still goes through instead of the whole submission failing.
Why did nothing happen when I reported the same address twice?
AbuseIPDB only accepts one report per address every 15 minutes from the same account, and if you file the same address again within 24 hours using an identical comment, it quietly records nothing at all. The desk tracks both rules and holds those rows with a countdown instead of letting them disappear.
Can I take back a report I filed by mistake?
Yes. Every submitted row has a withdraw action that clears the reports your own account filed against that address. It cannot remove reports that other people filed.
Is what I write in the report comment private?
No. Abuse reports are public on AbuseIPDB, so never paste customer names, email addresses, internal hostnames, or other private details into a comment. The desk warns you when a comment looks like it contains personal data.

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Stop maintaining that one-off abuse reporting script.

Give your team a shared desk that turns raw log lines into properly filed abuse reports, with every provider rule checked before anything is submitted.