Inside: 47 perfectly clean CSV files, each named by date range. But the last file, ids_final_master.xlsx , was different. It contained not only the shipment IDs but also a new column: PREDICTED_DUPLICATE_PROBABILITY . And at the very bottom, row 12,834, highlighted in red: an ID that didn't belong to any shipment. It was a backdoor hash.
// initial demo: prefill with a couple of example rules so user sees rich preview const initialRules = `alert tcp 192.168.1.0/24 any -> 10.0.0.1 22 (msg:"SSH Inbound from internal"; flow:established; sid:10001; rev:1; classification:"Potential SSH Scan";) alert udp any 53 -> 192.168.1.105 any (msg:"DNS Response large payload"; dsize:>512; sid:10002; rev:2;) drop tcp $EXTERNAL_NET 80 -> $HOME_NET any (msg:"Malicious download pattern"; content:"/evil.exe"; sid:10003; rev:1;)`; document.getElementById('ruleInput').value = initialRules; refreshFromTextarea(); ); </script> </body> </html> idsxls download better
Invoke-WebRequest -Uri $url -OutFile $output -UseBasicParsing -TimeoutSec 120 Inside: 47 perfectly clean CSV files, each named
If your IDS system uses a direct link (e.g., https://youridsportal.com/export?format=xls&id=12345 ), use this PowerShell script to achieve a faster, headless download: And at the very bottom, row 12,834, highlighted