feat(data_library): add full-width PAN-OS CSV samples for Palo Alto#245
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chelseawright7 wants to merge 3 commits into
Open
feat(data_library): add full-width PAN-OS CSV samples for Palo Alto#245chelseawright7 wants to merge 3 commits into
chelseawright7 wants to merge 3 commits into
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Adds a full-width (64-field) PAN-OS 10.x TRAFFIC log to data_library/palo-alto/ so the Bindplane Palo Alto traffic parsing blueprint can be verified end-to-end. The existing palo-alto CSV samples (auth_failure.log, config_change.log) are abbreviated and fail strict CSV parsing against the full field header.
added 2 commits
July 3, 2026 09:48
…o-alto/csv; add THREAT Move traffic.log into palo-alto/csv/ (native full-width CSV, distinct from the existing LEEF samples) and add csv/threat.log (79-field PAN-OS THREAT record).
Adds SYSTEM, CONFIG, HIP-MATCH, AUTHENTICATION, CORRELATION, DECRYPTION, GLOBALPROTECT, GTP, IPTAG, SCTP, and USERID full-width PAN-OS 10.x CSV records under palo-alto/csv/, each matching the corresponding PAN-OS field header exactly (so strict CSV parsing succeeds). Realistic, generic values (no customer data). Used to verify the Bindplane Palo Alto full log parsing blueprint end-to-end.
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What
Adds full-width PAN-OS (10.x) CSV log samples under
data_library/palo-alto/, starting with TRAFFIC. More log types (THREAT, SYSTEM, CONFIG, …) will be added to this PR.Why
The Bindplane Palo Alto parsing/reduction blueprints parse PAN-OS syslog by
parse_csvagainst the full field header. The existingpalo-altoCSV samples (auth_failure.log,config_change.log) are abbreviated — they have fewer fields than the full PAN-OS header, so they fail strict CSV parsing and can't be used to verify the blueprints end-to-end. (The otherpalo-altosamples are LEEF, a different format.)These full-width samples let the blueprints be validated against realistic, complete PAN-OS records.
Sample
data_library/palo-alto/traffic.log— a 64-field PAN-OS TRAFFIC (session end) record, syslog-framed, using the standard Blitz%Y/%m/%d %H:%M:%Stimestamp placeholders. Values are realistic and generic (no real customer data).