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README.md
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| 1 |
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---
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| 2 |
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license: cc-by-4.0
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pretty_name: "Flypaper: open honeypot data"
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size_categories:
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- 100K<n<1M
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tags:
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- cybersecurity
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- honeypot
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- threat-intelligence
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- cowrie
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- ssh
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- telnet
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- malware
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- intrusion-detection
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configs:
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- config_name: sessions
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default: true
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data_files: sessions/*/*.jsonl.gz
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- config_name: web
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data_files: web/*/*.jsonl.gz
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- config_name: campaigns
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data_files: campaigns/campaigns.csv
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- config_name: malware
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data_files: malware/samples.csv
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---
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# Flypaper: open honeypot data
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Everything that attacked three internet-facing honeypots on one residential IPv4 address in the
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United States: SSH and Telnet sessions with every login attempt and command, malware hashes, web
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exploit requests, and the attack campaigns they group into. It's rebuilt nightly from the raw logs
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and released under CC-BY-4.0.
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Current contents (2026-08-10 to 2026-11-01, UTC):
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| | |
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|---|---|
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| SSH/Telnet sessions | 203,880 (165,004 honeyfleet, 38,876 Cowrie) |
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| login attempts | 195,957 |
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| commands typed | 336,475 |
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| files dropped (hashes) | 9,972 |
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| web requests | 31,569 |
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| IPs that hit the Cowrie and web sensors (since 2026-08-09) | 3,233 |
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| campaigns | 740 |
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| malware samples triaged | 115 |
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## Sensors
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| `sensor` | what it is | data from |
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|---|---|---|
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| `honeyfleet` | SSH honeypot: a fork of Cowrie with a lived-in fake filesystem, rewritten common commands, and a per-session classification of the client (bot or human, typing cadence, command skeleton) | 2026-08-10 |
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| `cowrie` | stock [Cowrie](https://github.com/cowrie/cowrie) on SSH and Telnet | 2026-10-17 |
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| web | low-interaction HTTP catch-all with a fake WordPress login form | 2026-10-19 |
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Raw Cowrie logs before 2026-10-17 and web logs before 2026-10-19 were not kept. For those weeks
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`attackers.csv.gz` still has per-IP totals, usernames and passwords going back to 2026-08-09.
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Every sensor accepts some logins on purpose, so `success: true` means the honeypot let the
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attacker in. It doesn't mean the password is real anywhere.
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## Files
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```
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sessions/YYYY-MM/sessions-YYYY-MM-DD.jsonl.gz one JSON object per SSH/Telnet session, by UTC start day
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web/YYYY-MM/web-YYYY-MM-DD.jsonl.gz one JSON object per HTTP request
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attackers.csv.gz per-IP history for the Cowrie and web sensors since 2026-08-09
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campaigns/campaigns.csv campaigns found by grouping sessions on behaviour
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campaigns/campaign_ips.csv.gz which IPs took part in which campaign
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campaigns/campaign_daily.csv sessions and new IPs per campaign per day
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malware/samples.csv static triage of captured files (hashes only)
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malware/iocs.csv C2 addresses from those samples, confirmed by decompiling or from the dropper script
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stats.json the numbers above
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```
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Only finished UTC days are published. A day's file can still change on a later run if a late log
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rotation adds sessions to it.
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### Session fields
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| field | |
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|---|---|
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| `session`, `sensor`, `protocol` | session id (unique per sensor), `cowrie`/`honeyfleet`, `ssh`/`telnet` |
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| `start`, `end`, `duration_s` | ISO-8601 UTC; `end` is null if the close event was lost |
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| `src_ip`, `src_port` | the attacking address |
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| `asn`, `as_name`, `as_country` | from [iptoasn.com](https://iptoasn.com) at export time, not at the time of the attack |
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| `known_scanner` | label (e.g. Censys, Shodan) when reverse DNS identifies a research scanner |
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| `client_version`, `hassh`, `ssh_key_fingerprints`, `ja4` | client fingerprints |
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| `logins[]` | `t`, `username`, `password`, `success` |
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| `commands[]` | `t`, `input`, `ok` (false if the honeypot didn't implement some part of the line, true if it ran all of it, null if it logged neither) |
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| `downloads[]`, `uploads[]` | `sha256` and the path or filename the attacker used |
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| `failed_downloads[]` | URLs the honeypot could not fetch |
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| `tunnels[]` | `direct-tcpip` forwarding requests: the host and port the attacker tried to reach through us |
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| `classification` | honeyfleet only: `actor`, `actor_confidence`, `cadence`, `cadence_confidence`, `command_skeleton` |
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Web records have `ts`, `src_ip`, the ASN fields, `known_scanner`, `method`, `path`, `query`,
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`user_agent`, and the `username`/`password` sent to the fake login form.
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## What was changed or left out
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- The sensors' own public IP is replaced with `<sensor-ip>` wherever an attacker typed it (it
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turns up as a password and in client version strings). Any private IPv4 address is replaced with
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`<private-ip>`, and domain names belonging to the operator with `<own-domain>`.
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- Sessions from private or local addresses (our own testing) are dropped.
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- Not published: malware binaries (the hashes are on MalwareBazaar), terminal recordings, what the
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honeypots printed back, payload bytes sent through tunnels, and IDS logs.
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## Using it
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```python
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import pandas as pd
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s = pd.read_json("sessions/2026-10/sessions-2026-10-31.jsonl.gz", lines=True)
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s.explode("logins").dropna(subset=["logins"])["logins"].apply(pd.Series)["password"].value_counts().head(20)
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```
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Most source addresses are compromised machines or rented servers, not the people behind them.
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Don't treat an IP in this data as proof of who did something.
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Detection rules written from this data are in
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[honeypot-detections](https://github.com/zer0contextlost/honeypot-detections). Live views of the
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same sensors: [watch](https://watch.zer0contextlost.net), [fleet](https://fleet.zer0contextlost.net).
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## License and citation
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Data: [CC-BY-4.0](LICENSE). ASN data: iptoasn.com (PDDL).
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```
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zer0contextlost. Flypaper: open honeypot data. https://github.com/zer0contextlost/flypaper
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```
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Questions and corrections: open an issue.
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Mirror of https://github.com/zer0contextlost/flypaper (rebuilt nightly).
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