Datasets:

pyToshka
/

attacks-monthly

language:
  - en
task_categories:
  - other
task_ids:
  - tabular-multi-class-classification
  - multi-class-classification
pretty_name: Honeypot Cybersecurity Dataset
size_categories:
  - 100K<n<1M
source_datasets:
  - original
license: bsd-3-clause
tags:
  - cybersecurity
  - honeypot
  - threat-intelligence
multilinguality:
  - monolingual
annotations_creators:
  - machine-generated
dataset_info:
  features:
    - name: honeypot_ip_int
      dtype: string
    - name: flow
      dtype: string
    - name: payload_printable
      dtype: string
    - name: pkt_src
      dtype: string
    - name: geoip_ext
      dtype: string
    - name: dest_ip
      dtype: string
    - name: '@timestamp'
      dtype: string
    - name: src_port
      dtype: string
    - name: direction
      dtype: string
    - name: alert
      dtype: string
    - name: type
      dtype: string
    - name: src_ip
      dtype: string
    - name: geoip
      dtype: string
    - name: proto
      dtype: string
    - name: '@version'
      dtype: string
    - name: ip_rep
      dtype: string
    - name: timestamp
      dtype: string
    - name: in_iface
      dtype: string
    - name: host
      dtype: string
    - name: honeypot_ip_ext
      dtype: string
    - name: event_type
      dtype: string
    - name: honeypot_hostname
      dtype: string
    - name: dest_port
      dtype: int64
    - name: stream
      dtype: string
    - name: flow_id
      dtype: string
    - name: mitre_techniques
      dtype: string
    - name: attack_vectors
      dtype: string
    - name: mitre_tactic
      dtype: string
    - name: mitre_technique
      dtype: string
    - name: confidence_score
      dtype: string
    - name: is_malicious
      dtype: bool
    - name: severity
      dtype: string
    - name: primary_label
      dtype: string
    - name: data
      dtype: string
    - name: action
      dtype: string
    - name: protocol
      dtype: string
    - name: mstshash
      dtype: string
    - name: mod
      dtype: string
    - name: os
      dtype: string
    - name: dist
      dtype: string
    - name: subject
      dtype: string
    - name: raw_sig
      dtype: string
    - name: params
      dtype: string
    - name: metadata
      dtype: string
    - name: app_proto
      dtype: string
    - name: tags
      dtype: string
    - name: tcp
      dtype: string
    - name: payload
      dtype: string
    - name: rdp
      dtype: string
    - name: tx_guessed
      dtype: string
    - name: tx_id
      dtype: string
    - name: fatt_rdp
      dtype: string
    - name: raw_freq
      dtype: string
    - name: uptime
      dtype: string
    - name: raw_mtu
      dtype: string
    - name: link
      dtype: string
    - name: fatt_ssh
      dtype: string
    - name: app_proto_tc
      dtype: string
    - name: download_count
      dtype: string
    - name: proxy_connection
      dtype: string
    - name: downloads
      dtype: string
    - name: is_virtual
      dtype: string
    - name: attack_connection
      dtype: string
    - name: operation_mode
      dtype: string
    - name: start_time
      dtype: string
    - name: end_time
      dtype: string
    - name: download_tries
      dtype: string
    - name: reason
      dtype: string
    - name: raw_hits
      dtype: string
    - name: tls
      dtype: string
    - name: anomaly
      dtype: string
    - name: ssh
      dtype: string
    - name: response.headers.Server
      dtype: string
    - name: request.protocol
      dtype: string
    - name: level
      dtype: string
    - name: request.headers.X-Csrftoken
      dtype: string
    - name: request.headers.Connection
      dtype: string
    - name: response.metadata.temperature
      dtype: string
    - name: request.headers.sortedSha256
      dtype: string
    - name: request.headers.User-Agent
      dtype: string
    - name: request.bodySha256
      dtype: string
    - name: request.userAgent
      dtype: string
    - name: request.method
      dtype: string
    - name: request.headers.sorted
      dtype: string
    - name: response.metadata.model
      dtype: string
    - name: request.body
      dtype: string
    - name: session
      dtype: string
    - name: response.headers.Content-Type
      dtype: string
    - name: msg
      dtype: string
    - name: request.headers.Accept
      dtype: string
    - name: request.requestURI
      dtype: string
    - name: response.metadata.provider
      dtype: string
    - name: sensorName
      dtype: string
    - name: hostname
      dtype: string
    - name: response.metadata.generationSource
      dtype: string
    - name: response.body
      dtype: string
    - name: input
      dtype: string
    - name: message
      dtype: string
    - name: output
      dtype: string
    - name: service
      dtype: string
    - name: username
      dtype: string
    - name: status
      dtype: string
    - name: environ
      dtype: string
    - name: session_duration
      dtype: float64
    - name: fatt_tls
      dtype: string
    - name: http
      dtype: string
    - name: password
      dtype: string
    - name: client
      dtype: string
    - name: app
      dtype: string
    - name: lang
      dtype: string
    - name: fileinfo
      dtype: string
    - name: client_version
      dtype: string
    - name: eventid
      dtype: string
    - name: sensor
      dtype: string
    - name: files
      dtype: string
    - name: request.headers.Content-Disposition
      dtype: string
    - name: request.headers.Upgrade-Insecure-Requests
      dtype: string
    - name: request.headers.X-Csrf-Token
      dtype: string
    - name: fatt_http
      dtype: string
    - name: ftp
      dtype: string
    - name: smtp
      dtype: string
    - name: smb
      dtype: string
    - name: request
      dtype: string
    - name: response
      dtype: string
    - name: public_ip
      dtype: string
    - name: data_type
      dtype: string
    - name: id
      dtype: string
    - name: sensorid
      dtype: string
    - name: request.headers.Accept-Encoding
      dtype: string
    - name: request.headers.Ip
      dtype: string
    - name: request.headers.Hostname
      dtype: string
    - name: mqtt
      dtype: string
    - name: icmp_code
      dtype: string
    - name: icmp_type
      dtype: string
    - name: request.headers.Content-Type
      dtype: string
    - name: request.headers.X-Requested-With
      dtype: string
    - name: request.headers.Accept-Language
      dtype: string
    - name: request.headers.Referer
      dtype: string
    - name: request.headers.X-Forwarded-For
      dtype: string
    - name: request.headers.Authorization
      dtype: string
    - name: request.headers.Cookie
      dtype: string
    - name: request.headers.Ipaddress
      dtype: string
    - name: request.headers.Forwarded
      dtype: string
    - name: outfile
      dtype: string
    - name: filename
      dtype: string
    - name: src_url
      dtype: string
    - name: shasum
      dtype: string
    - name: request.headers.From
      dtype: string
    - name: duration
      dtype: string
    - name: request.headers.Origin
      dtype: string
    - name: request.headers.Max-Forwards
      dtype: string
    - name: request.headers.Pragma
      dtype: string
    - name: request.headers.X-Amz-Date
      dtype: string
    - name: request.headers.Proxy-Authorization
      dtype: string
    - name: request.headers.Content-Encoding
      dtype: string
    - name: request.headers.Range
      dtype: string
    - name: request.headers.X-Amz-Target
      dtype: string
    - name: request.headers.Username
      dtype: string
    - name: request.headers.Accept-Charset
      dtype: string
    - name: request.headers.Qualys-Scan
      dtype: string
    - name: request.headers.Accept-Datetime
      dtype: string
    - name: request.headers.Content-Length
      dtype: string
    - name: request.headers.Date
      dtype: string
    - name: request.headers.X-Api-Version
      dtype: string
    - name: request.headers.Access-Control-Request-Headers
      dtype: string
    - name: request.headers.X-Xsrf-Token
      dtype: string
    - name: request.headers.Warning
      dtype: string
    - name: request.headers.X-Proxyuser-Ip
      dtype: string
    - name: request.headers.Te
      dtype: string
    - name: request.headers.Dnt
      dtype: string
    - name: app_proto_ts
      dtype: string
    - name: request.headers.Access-Control-Request-Method
      dtype: string
    - name: request.headers.Location
      dtype: string
    - name: request.headers.X-Druid-Comment
      dtype: string
    - name: request.headers.Authentication
      dtype: string
    - name: request.headers.X-Origin
      dtype: string
    - name: response.headers.Strict-Transport-Security
      dtype: string
    - name: response.headers.X-Frame-Options
      dtype: string
    - name: request.headers.X-Support-Http-Auth
      dtype: string
    - name: response.headers.X-Content-Type-Options
      dtype: string
    - name: request.headers.X-Transcend-Version
      dtype: string
    - name: called_number
      dtype: string
    - name: sip_user_agent
      dtype: string
    - name: app_version
      dtype: string
    - name: created_by_node_id
      dtype: string
    - name: sip_method
      dtype: string
    - name: sip_message
      dtype: string
    - name: collected_method
      dtype: string
    - name: app_name
      dtype: string
    - name: transport_type
      dtype: string
    - name: event_uuid
      dtype: string
    - name: commands
      dtype: string
  splits:
    - name: train
      num_bytes: 2797862562
      num_examples: 232040
  download_size: 2797862562
  dataset_size: 2797862562
config_name: default

attacks-monthly

Dataset Description

This dataset contains cybersecurity events collected from honeypot infrastructure.

The data has been processed and feature-engineered for machine learning applications in threat detection and security analytics.

Feature Categories

Network Features

Connection flow statistics (bytes, packets, duration)
Protocol-specific metrics
Geographic information
IP reputation data

Behavioral Features

Session patterns and command sequences
User-agent analysis
Attack pattern identification
Protocol fingerprinting

Temporal Features

Time-based aggregations
Frequency analysis
Campaign detection indicators
Attack timing patterns

Security Labels

MITRE ATT&CK technique mappings
Alert severity classifications
Automatic threat categorization
Binary maliciousness indicators

Usage Example

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("pyToshka/attacks-monthly")
train_data = dataset["train"]

# Basic exploration
print("Dataset features:", list(train_data.features.keys()))
print("Total samples:", len(train_data))

from collections import Counter

# Example: Filter RDP attacks
rdp_events = train_data.filter(lambda x: x['app_proto'] == 'rdp')
print("RDP events:", len(rdp_events))

# Example: Analyze attack vectors
if len(rdp_events) > 0:
    attack_vectors = Counter([event['attack_vectors'] for event in rdp_events if event['attack_vectors']])
    print("RDP Attack vectors:")
    for vector, count in attack_vectors.most_common():
        print(f"  {vector}: {count}")

# Example: Analyze protocol distribution
protocols = Counter([event['app_proto'] for event in train_data if event['app_proto']])
print("Protocol distribution:")
for proto, count in protocols.most_common():
    print(f"  {proto if proto else '(empty)'}: {count}")

# Example: Malicious events analysis
malicious_count = sum(1 for event in train_data if event['is_malicious'])
print(f"Malicious events: {malicious_count}/{len(train_data)} ({malicious_count/len(train_data)*100:.1f}%)")

Data Fields

The dataset contains 192 features across several categories:

Network Features

honeypot_ip_int: Network-related information
flow: Network-related information
geoip_ext: Network-related information
dest_ip: Network-related information
src_port: Network-related information
... and 18 more network features

Behavioral Features

request.headers.User-Agent: Behavioral analysis data
request.userAgent: Behavioral analysis data
session: Behavioral analysis data
username: Behavioral analysis data
session_duration: Behavioral analysis data
... and 8 more behavioral features

Temporal Features

@timestamp: Time-based information
timestamp: Time-based information
uptime: Time-based information
start_time: Time-based information
end_time: Time-based information
... and 5 more temporal features

Security Features

alert: Security and threat intelligence
mitre_techniques: Security and threat intelligence
attack_vectors: Security and threat intelligence
mitre_tactic: Security and threat intelligence
mitre_technique: Security and threat intelligence
... and 2 more security features

Data Splits

Split	Examples
train	232,040

Dataset Statistics

Total size: ~2668.2 MB
Average record size: ~12058 bytes
Feature completeness: 100.0%

Ethical Considerations

This dataset contains real honeypot data representing actual attack attempts. Users should:

Privacy: Respect anonymization measures implemented in the dataset
Research Use: Use data only for legitimate cybersecurity research and education
Responsible Disclosure: Follow responsible disclosure practices for any findings
Legal Compliance: Comply with applicable laws and regulations in your jurisdiction
No Reidentification: Do not attempt to identify or contact attackers
Defensive Purpose: Use insights for defensive security improvements only