MokN - Baits
Overview
- Vendor: MokN
- Supported environment: SaaS
- Detection based on: Telemetry
- Supported application or feature:
- Bait attempts
- Credential exposure context
- Attempt follow-up actions
MokN helps detect malicious authentication activity by exposing login attempts captured on bait services. This integration polls MokN bait attempts from the MokN API and forwards them to Sekoia.io as normalized events.
The integration also provides response actions so analysts can interact with an attempt directly from automation:
- Add or update the comment attached to an attempt
- Request a credential check for a specific attempt
Configure
Prerequisites
To use this integration, you need:
- A MokN tenant URL
- A MokN API token with access to bait attempts
- Access to create an intake and configure automation in Sekoia.io
Create an API key in MokN
- In MokN, go to
Settings - Open
API - Click
Create API KEY - Enter a name for the API key
- Assign a role
- Copy the API key
Create your intake
Go to your Sekoia.io Intakes page, and follow these steps:
- Click
+ Intake - Choose
MokN - Baits - Give the intake a name and select the relevant Entity
- Enter the MokN tenant base URL in the
Base Urlfield - Enter the MokN API token in the
Api Tokenfield - Keep
Verify Sslenabled unless your environment requires otherwise
Configure the polling trigger
Once the module is configured, create and start the trigger Fetch MokN Login Attempts.
The trigger supports the following main options:
frequency: Polling interval in secondspage_size: Number of attempts fetched per requestinitial_lookback_minutes: Initial lookback used when no checkpoint exists yetthreat_levels: Threat levels to include in the querypending: Restrict collection to pending attempts onlystatuses: List of MokN status codes to include in the polling query
Event content
Collected events include the main attempt metadata exposed by MokN, including:
- Attempt identifiers and timestamps
- Username and password submitted to the bait
- Source IP address and geographic context
- HTTP headers and user-agent
- JA4H fingerprint when available
- Attacker reputation and attempt counters
- Credential leak context
- Credential check history
The integration emits MokN bait attempts with the event action mokn_bait_attempt and the dataset mokn.bait_attempt.
Instruction on Sekoia
Raw Events Samples
In this section, you will find examples of raw logs as generated natively by the source. These examples are provided to help integrators understand the data format before ingestion into Sekoia.io. It is crucial for setting up the correct parsing stages and ensuring that all relevant information is captured.
{
"event_type": "mokn_bait_attempt",
"id": 4,
"date": "2026-04-17T14:20:00+00:00",
"updated_time": "2026-04-17T14:20:00+00:00",
"bait_name": "SSH Honeypot",
"username": "root@example.com",
"password": "toor",
"is_targeted": true,
"comment": "",
"type": "Targeted",
"identification": "SSH",
"status": 9,
"threat_level": "HIGH",
"attack": {
"ip": "192.0.2.20",
"country": "Russia",
"country_code": "RU",
"ja4h": "ja4h-ssh-1",
"user_agent": "GenericBrowser/1.0",
"headers": [
[
"Host",
"example.com"
],
[
"Referer",
"https://example.com/ssh"
]
],
"opportunistic_patterns": [
{
"name": "brute_force",
"threat_level_setting": "HIGH"
}
],
"reputation": "Malicious",
"total_attempts": 200,
"total_targeted_attempts": 200
},
"leaks": [
{
"site": "darkweb_dump.txt",
"date": "2025-03-01T00:00:00+00:00"
}
]
}
{
"event_type": "mokn_bait_attempt",
"id": 1,
"date": "2026-04-14T12:45:54+00:00",
"updated_time": "2026-04-14T12:45:54+00:00",
"bait_name": "App Portal",
"username": "User3@example.com",
"password": "password-example-3",
"is_targeted": true,
"comment": "",
"type": "Targeted",
"identification": "App Connector",
"status": 9,
"threat_level": "LOW",
"attack": {
"ip": "198.51.100.42",
"country": "Germany",
"country_code": "DE",
"ja4h": "sample-ja4h",
"user_agent": "GenericBrowser/1.0",
"headers": [
[
"Host",
"example.com"
],
[
"Origin",
"https://example.com"
],
[
"Referer",
"https://example.com/login"
],
[
"X-Forwarded-For",
"198.51.100.42"
]
],
"opportunistic_patterns": [
{
"name": "has_leaked",
"threat_level_setting": "HIGH"
}
],
"reputation": "Malicious",
"total_attempts": 12,
"total_targeted_attempts": 12
},
"leaks": [
{
"site": "random_source_a.txt",
"date": "2024-07-18T00:00:00+00:00"
},
{
"site": "random_source_b.zip",
"date": "2023-11-02T00:00:00+00:00"
}
]
}
{
"event_type": "mokn_bait_attempt",
"id": 5,
"date": "2026-04-18T11:15:00+00:00",
"updated_time": "2026-04-18T11:15:00+00:00",
"bait_name": "VPN Portal",
"username": "user1@example.com",
"password": "VpnPass123",
"is_targeted": true,
"comment": "",
"type": "Targeted",
"identification": "VPN",
"status": 7,
"threat_level": "MEDIUM",
"attack": {
"ip": "192.0.2.30",
"country": "China",
"country_code": "CN",
"ja4h": "ja4h-vpn-1",
"user_agent": "GenericBrowser/1.0",
"headers": [
[
"Host",
"example.com"
],
[
"Referer",
"https://example.com/vpn"
]
],
"opportunistic_patterns": [
{
"name": "credential_stuffing",
"threat_level_setting": "MEDIUM"
}
],
"reputation": "Suspicious",
"total_attempts": 30,
"total_targeted_attempts": 30
},
"leaks": [
{
"site": "combo_list.txt",
"date": "2024-06-15T00:00:00+00:00"
}
]
}
{
"event_type": "mokn_bait_attempt",
"id": 2,
"date": "2026-04-15T10:00:00+00:00",
"updated_time": "2026-04-15T10:00:00+00:00",
"bait_name": "DB Admin",
"username": "admin@example.com",
"password": "Summer2024!",
"is_targeted": true,
"comment": "",
"type": "Targeted",
"identification": "Database",
"status": 5,
"threat_level": "LOW",
"attack": {
"ip": "192.0.2.10",
"country": "France",
"country_code": "FR",
"ja4h": "ja4h-db-1",
"user_agent": "GenericBrowser/1.0",
"headers": [
[
"Host",
"example.com"
],
[
"Referer",
"https://example.com/admin"
]
],
"opportunistic_patterns": [
{
"name": "sql_injection",
"threat_level_setting": "MEDIUM"
}
],
"reputation": "Suspicious",
"total_attempts": 3,
"total_targeted_attempts": 3
},
"leaks": []
}
{
"event_type": "mokn_bait_attempt",
"id": 3,
"date": "2026-04-16T08:30:00+00:00",
"updated_time": "2026-04-16T08:30:00+00:00",
"bait_name": "File Share",
"username": "user1@example.com",
"password": "guest",
"is_targeted": false,
"comment": "",
"type": "Opportunistic",
"identification": "NAS",
"status": 2,
"threat_level": "LOW",
"attack": {
"ip": "203.0.113.5",
"country": "Netherlands",
"country_code": "NL",
"ja4h": "ja4h-nas-1",
"user_agent": "GenericBrowser/1.0",
"headers": [
[
"Host",
"example.com"
],
[
"Referer",
"https://example.com/files"
]
],
"opportunistic_patterns": [
{
"name": "default_creds",
"threat_level_setting": "LOW"
}
],
"reputation": "Unknown",
"total_attempts": 50,
"total_targeted_attempts": 0
},
"leaks": [
{
"site": "breach_db.txt",
"date": "2025-01-10T00:00:00+00:00"
}
]
}
{
"event_type": "mokn_bait_attempt",
"id": 6,
"date": "2026-04-19T16:45:00+00:00",
"updated_time": "2026-04-19T16:45:00+00:00",
"bait_name": "Internal Tool",
"username": "user1",
"password": "admin123",
"is_targeted": false,
"comment": "",
"type": "Opportunistic",
"identification": "Intranet",
"status": 1,
"threat_level": "LOW",
"attack": {
"ip": "203.0.113.15",
"country": "United States",
"country_code": "US",
"ja4h": "ja4h-int-1",
"user_agent": "GenericBrowser/1.0",
"headers": [
[
"Host",
"example.com"
],
[
"Referer",
"https://example.com/tool"
]
],
"opportunistic_patterns": [
{
"name": "default_creds",
"threat_level_setting": "LOW"
}
],
"reputation": "Unknown",
"total_attempts": 5,
"total_targeted_attempts": 0
},
"leaks": []
}
Detection section
The following section provides information for those who wish to learn more about the detection capabilities enabled by collecting this intake. It includes details about the built-in rule catalog, event categories, and ECS fields extracted from raw events. This is essential for users aiming to create custom detection rules, perform hunting activities, or pivot in the events page.
Related Built-in Rules
The following Sekoia.io built-in rules match the intake MokN - Baits. This documentation is updated automatically and is based solely on the fields used by the intake which are checked against our rules. This means that some rules will be listed but might not be relevant with the intake.
SEKOIA.IO x MokN - Baits on ATT&CK Navigator
Bazar Loader DGA (Domain Generation Algorithm)
Detects Bazar Loader domains based on the Bazar Loader DGA
- Effort: elementary
Cryptomining
Detection of domain names potentially related to cryptomining activities.
- Effort: master
Dynamic DNS Contacted
Detect communication with dynamic dns domain. This kind of domain is often used by attackers. This rule can trigger false positive in non-controlled environment because dynamic dns is not always malicious.
- Effort: master
EvilProxy Phishing Domain
Detects subdomains potentially generated by the EvilProxy adversary-in-the-middle phishing platform. Inspect the other subdomains of the domain to identify the landing page, and determine if the user submitted credentials. This rule has a small percentage of false positives on legitimate domains.
- Effort: intermediate
Exfiltration Domain
Detects traffic toward a domain flagged as a possible exfiltration vector.
- Effort: master
Nimbo-C2 User Agent
Nimbo-C2 Uses an unusual User-Agent format in its implants.
- Effort: intermediate
Potential Bazar Loader User-Agents
Detects potential Bazar loader communications through the user-agent
- Effort: elementary
Potential Lemon Duck User-Agent
Detects LemonDuck user agent. The format used two sets of alphabetical characters separated by dashes, for example "User-Agent: Lemon-Duck-[A-Z]-[A-Z]".
- Effort: elementary
Remote Access Tool Domain
Detects traffic toward a domain flagged as a Remote Administration Tool (RAT).
- Effort: master
Remote Monitoring and Management Software - AnyDesk
Detect artifacts related to the installation or execution of the Remote Monitoring and Management tool AnyDesk.
- Effort: master
SEKOIA.IO Intelligence Feed
Detect threats based on indicators of compromise (IOCs) collected by SEKOIA's Threat and Detection Research team.
- Effort: elementary
Sekoia.io EICAR Detection
Detects observables in Sekoia.io CTI tagged as EICAR, which are fake samples meant to test detection.
- Effort: master
Sign-In Via Known AiTM Phishing Kit
Detects a sign-in attempt from an IP address belonging to a known adversary-in-the-middle phishing kit.
- Effort: elementary
TOR Usage Generic Rule
Detects TOR usage globally, whether the IP is a destination or source. TOR is short for The Onion Router, and it gets its name from how it works. TOR intercepts the network traffic from one or more apps on user’s computer, usually the user web browser, and shuffles it through a number of randomly-chosen computers before passing it on to its destination. This disguises user location, and makes it harder for servers to pick him/her out on repeat visits, or to tie together separate visits to different sites, this making tracking and surveillance more difficult. Before a network packet starts its journey, user’s computer chooses a random list of relays and repeatedly encrypts the data in multiple layers, like an onion. Each relay knows only enough to strip off the outermost layer of encryption, before passing what’s left on to the next relay in the list.
- Effort: master
Event Categories
The following table lists the data source offered by this integration.
| Data Source | Description |
|---|---|
Authentication logs |
MokN captures login attempts observed on bait services |
In details, the following table denotes the type of events produced by this integration.
| Name | Values |
|---|---|
| Kind | alert |
| Category | authentication, intrusion_detection |
| Type | info |
Transformed Events Samples after Ingestion
This section demonstrates how the raw logs will be transformed by our parsers. It shows the extracted fields that will be available for use in the built-in detection rules and hunting activities in the events page. Understanding these transformations is essential for analysts to create effective detection mechanisms with custom detection rules and to leverage the full potential of the collected data.
{
"message": "{\"event_type\":\"mokn_bait_attempt\",\"id\":4,\"date\":\"2026-04-17T14:20:00+00:00\",\"updated_time\":\"2026-04-17T14:20:00+00:00\",\"bait_name\":\"SSH Honeypot\",\"username\":\"root@example.com\",\"password\":\"toor\",\"is_targeted\":true,\"comment\":\"\",\"type\":\"Targeted\",\"identification\":\"SSH\",\"status\":9,\"threat_level\":\"HIGH\",\"attack\":{\"ip\":\"192.0.2.20\",\"country\":\"Russia\",\"country_code\":\"RU\",\"ja4h\":\"ja4h-ssh-1\",\"user_agent\":\"GenericBrowser/1.0\",\"headers\":[[\"Host\",\"example.com\"],[\"Referer\",\"https://example.com/ssh\"]],\"opportunistic_patterns\":[{\"name\":\"brute_force\",\"threat_level_setting\":\"HIGH\"}],\"reputation\":\"Malicious\",\"total_attempts\":200,\"total_targeted_attempts\":200},\"leaks\":[{\"site\":\"darkweb_dump.txt\",\"date\":\"2025-03-01T00:00:00+00:00\"}]}",
"event": {
"action": "bait login attempt",
"category": [
"authentication",
"intrusion_detection"
],
"dataset": "mokn.bait_attempt",
"kind": "alert",
"module": "mokn",
"reason": "Targeted",
"severity": 8,
"type": [
"info"
]
},
"@timestamp": "2026-04-17T14:20:00Z",
"http": {
"request": {
"referrer": "https://example.com/ssh"
}
},
"mokn": {
"attacker_reputation": "Malicious",
"attacker_total_attempts": 200,
"attacker_total_targeted_attempts": 200,
"first_leak_date": "2025-03-01T00:00:00+00:00",
"first_leak_site": "darkweb_dump.txt",
"id": 4,
"identification": "SSH",
"is_targeted": true,
"ja4h": "ja4h-ssh-1",
"leaks": [
{
"date": "2025-03-01T00:00:00+00:00",
"site": "darkweb_dump.txt"
}
],
"opportunistic_pattern_names": "brute_force",
"opportunistic_patterns": [
{
"name": "brute_force",
"threat_level_setting": "HIGH"
}
],
"status": 9,
"threat_level": "HIGH"
},
"observer": {
"product": "Baits",
"type": "honeypot",
"vendor": "MokN"
},
"related": {
"hosts": [
"example.com"
],
"ip": [
"192.0.2.20"
],
"user": [
"root"
]
},
"rule": {
"name": "SSH Honeypot"
},
"source": {
"address": "192.0.2.20",
"geo": {
"country_iso_code": "RU",
"country_name": "Russia"
},
"ip": "192.0.2.20"
},
"url": {
"domain": "example.com",
"registered_domain": "example.com",
"top_level_domain": "com"
},
"user": {
"email": "root@example.com",
"name": "root"
},
"user_agent": {
"device": {
"name": "Generic Feature Phone"
},
"name": "Other",
"original": "GenericBrowser/1.0",
"os": {
"name": "Other"
}
}
}
{
"message": "{\"event_type\":\"mokn_bait_attempt\",\"id\":1,\"date\":\"2026-04-14T12:45:54+00:00\",\"updated_time\":\"2026-04-14T12:45:54+00:00\",\"bait_name\":\"App Portal\",\"username\":\"User3@example.com\",\"password\":\"password-example-3\",\"is_targeted\":true,\"comment\":\"\",\"type\":\"Targeted\",\"identification\":\"App Connector\",\"status\":9,\"threat_level\":\"LOW\",\"attack\":{\"ip\":\"198.51.100.42\",\"country\":\"Germany\",\"country_code\":\"DE\",\"ja4h\":\"sample-ja4h\",\"user_agent\":\"GenericBrowser/1.0\",\"headers\":[[\"Host\",\"example.com\"],[\"Origin\",\"https://example.com\"],[\"Referer\",\"https://example.com/login\"],[\"X-Forwarded-For\",\"198.51.100.42\"]],\"opportunistic_patterns\":[{\"name\":\"has_leaked\",\"threat_level_setting\":\"HIGH\"}],\"reputation\":\"Malicious\",\"total_attempts\":12,\"total_targeted_attempts\":12},\"leaks\":[{\"site\":\"random_source_a.txt\",\"date\":\"2024-07-18T00:00:00+00:00\"},{\"site\":\"random_source_b.zip\",\"date\":\"2023-11-02T00:00:00+00:00\"}]}",
"event": {
"action": "bait login attempt",
"category": [
"authentication",
"intrusion_detection"
],
"dataset": "mokn.bait_attempt",
"kind": "alert",
"module": "mokn",
"reason": "Targeted",
"severity": 3,
"type": [
"info"
]
},
"@timestamp": "2026-04-14T12:45:54Z",
"http": {
"request": {
"referrer": "https://example.com/login"
}
},
"mokn": {
"attacker_reputation": "Malicious",
"attacker_total_attempts": 12,
"attacker_total_targeted_attempts": 12,
"first_leak_date": "2023-11-02T00:00:00+00:00",
"first_leak_site": "random_source_b.zip",
"id": 1,
"identification": "App Connector",
"is_targeted": true,
"ja4h": "sample-ja4h",
"leaks": [
{
"date": "2024-07-18T00:00:00+00:00",
"site": "random_source_a.txt"
},
{
"date": "2023-11-02T00:00:00+00:00",
"site": "random_source_b.zip"
}
],
"opportunistic_pattern_names": "has_leaked",
"opportunistic_patterns": [
{
"name": "has_leaked",
"threat_level_setting": "HIGH"
}
],
"status": 9,
"threat_level": "LOW"
},
"observer": {
"product": "Baits",
"type": "honeypot",
"vendor": "MokN"
},
"related": {
"hosts": [
"example.com"
],
"ip": [
"198.51.100.42"
],
"user": [
"User3"
]
},
"rule": {
"name": "App Portal"
},
"source": {
"address": "198.51.100.42",
"geo": {
"country_iso_code": "DE",
"country_name": "Germany"
},
"ip": "198.51.100.42"
},
"url": {
"domain": "example.com",
"registered_domain": "example.com",
"top_level_domain": "com"
},
"user": {
"email": "User3@example.com",
"name": "User3"
},
"user_agent": {
"device": {
"name": "Generic Feature Phone"
},
"name": "Other",
"original": "GenericBrowser/1.0",
"os": {
"name": "Other"
}
}
}
{
"message": "{\"event_type\":\"mokn_bait_attempt\",\"id\":5,\"date\":\"2026-04-18T11:15:00+00:00\",\"updated_time\":\"2026-04-18T11:15:00+00:00\",\"bait_name\":\"VPN Portal\",\"username\":\"user1@example.com\",\"password\":\"VpnPass123\",\"is_targeted\":true,\"comment\":\"\",\"type\":\"Targeted\",\"identification\":\"VPN\",\"status\":7,\"threat_level\":\"MEDIUM\",\"attack\":{\"ip\":\"192.0.2.30\",\"country\":\"China\",\"country_code\":\"CN\",\"ja4h\":\"ja4h-vpn-1\",\"user_agent\":\"GenericBrowser/1.0\",\"headers\":[[\"Host\",\"example.com\"],[\"Referer\",\"https://example.com/vpn\"]],\"opportunistic_patterns\":[{\"name\":\"credential_stuffing\",\"threat_level_setting\":\"MEDIUM\"}],\"reputation\":\"Suspicious\",\"total_attempts\":30,\"total_targeted_attempts\":30},\"leaks\":[{\"site\":\"combo_list.txt\",\"date\":\"2024-06-15T00:00:00+00:00\"}]}",
"event": {
"action": "bait login attempt",
"category": [
"authentication",
"intrusion_detection"
],
"dataset": "mokn.bait_attempt",
"kind": "alert",
"module": "mokn",
"reason": "Targeted",
"severity": 5,
"type": [
"info"
]
},
"@timestamp": "2026-04-18T11:15:00Z",
"http": {
"request": {
"referrer": "https://example.com/vpn"
}
},
"mokn": {
"attacker_reputation": "Suspicious",
"attacker_total_attempts": 30,
"attacker_total_targeted_attempts": 30,
"first_leak_date": "2024-06-15T00:00:00+00:00",
"first_leak_site": "combo_list.txt",
"id": 5,
"identification": "VPN",
"is_targeted": true,
"ja4h": "ja4h-vpn-1",
"leaks": [
{
"date": "2024-06-15T00:00:00+00:00",
"site": "combo_list.txt"
}
],
"opportunistic_pattern_names": "credential_stuffing",
"opportunistic_patterns": [
{
"name": "credential_stuffing",
"threat_level_setting": "MEDIUM"
}
],
"status": 7,
"threat_level": "MEDIUM"
},
"observer": {
"product": "Baits",
"type": "honeypot",
"vendor": "MokN"
},
"related": {
"hosts": [
"example.com"
],
"ip": [
"192.0.2.30"
],
"user": [
"user1"
]
},
"rule": {
"name": "VPN Portal"
},
"source": {
"address": "192.0.2.30",
"geo": {
"country_iso_code": "CN",
"country_name": "China"
},
"ip": "192.0.2.30"
},
"url": {
"domain": "example.com",
"registered_domain": "example.com",
"top_level_domain": "com"
},
"user": {
"email": "user1@example.com",
"name": "user1"
},
"user_agent": {
"device": {
"name": "Generic Feature Phone"
},
"name": "Other",
"original": "GenericBrowser/1.0",
"os": {
"name": "Other"
}
}
}
{
"message": "{\"event_type\":\"mokn_bait_attempt\",\"id\":2,\"date\":\"2026-04-15T10:00:00+00:00\",\"updated_time\":\"2026-04-15T10:00:00+00:00\",\"bait_name\":\"DB Admin\",\"username\":\"admin@example.com\",\"password\":\"Summer2024!\",\"is_targeted\":true,\"comment\":\"\",\"type\":\"Targeted\",\"identification\":\"Database\",\"status\":5,\"threat_level\":\"LOW\",\"attack\":{\"ip\":\"192.0.2.10\",\"country\":\"France\",\"country_code\":\"FR\",\"ja4h\":\"ja4h-db-1\",\"user_agent\":\"GenericBrowser/1.0\",\"headers\":[[\"Host\",\"example.com\"],[\"Referer\",\"https://example.com/admin\"]],\"opportunistic_patterns\":[{\"name\":\"sql_injection\",\"threat_level_setting\":\"MEDIUM\"}],\"reputation\":\"Suspicious\",\"total_attempts\":3,\"total_targeted_attempts\":3},\"leaks\":[]}",
"event": {
"action": "bait login attempt",
"category": [
"authentication",
"intrusion_detection"
],
"dataset": "mokn.bait_attempt",
"kind": "alert",
"module": "mokn",
"reason": "Targeted",
"severity": 3,
"type": [
"info"
]
},
"@timestamp": "2026-04-15T10:00:00Z",
"http": {
"request": {
"referrer": "https://example.com/admin"
}
},
"mokn": {
"attacker_reputation": "Suspicious",
"attacker_total_attempts": 3,
"attacker_total_targeted_attempts": 3,
"id": 2,
"identification": "Database",
"is_targeted": true,
"ja4h": "ja4h-db-1",
"leaks": [],
"opportunistic_pattern_names": "sql_injection",
"opportunistic_patterns": [
{
"name": "sql_injection",
"threat_level_setting": "MEDIUM"
}
],
"status": 5,
"threat_level": "LOW"
},
"observer": {
"product": "Baits",
"type": "honeypot",
"vendor": "MokN"
},
"related": {
"hosts": [
"example.com"
],
"ip": [
"192.0.2.10"
],
"user": [
"admin"
]
},
"rule": {
"name": "DB Admin"
},
"source": {
"address": "192.0.2.10",
"geo": {
"country_iso_code": "FR",
"country_name": "France"
},
"ip": "192.0.2.10"
},
"url": {
"domain": "example.com",
"registered_domain": "example.com",
"top_level_domain": "com"
},
"user": {
"email": "admin@example.com",
"name": "admin"
},
"user_agent": {
"device": {
"name": "Generic Feature Phone"
},
"name": "Other",
"original": "GenericBrowser/1.0",
"os": {
"name": "Other"
}
}
}
{
"message": "{\"event_type\":\"mokn_bait_attempt\",\"id\":3,\"date\":\"2026-04-16T08:30:00+00:00\",\"updated_time\":\"2026-04-16T08:30:00+00:00\",\"bait_name\":\"File Share\",\"username\":\"user1@example.com\",\"password\":\"guest\",\"is_targeted\":false,\"comment\":\"\",\"type\":\"Opportunistic\",\"identification\":\"NAS\",\"status\":2,\"threat_level\":\"LOW\",\"attack\":{\"ip\":\"203.0.113.5\",\"country\":\"Netherlands\",\"country_code\":\"NL\",\"ja4h\":\"ja4h-nas-1\",\"user_agent\":\"GenericBrowser/1.0\",\"headers\":[[\"Host\",\"example.com\"],[\"Referer\",\"https://example.com/files\"]],\"opportunistic_patterns\":[{\"name\":\"default_creds\",\"threat_level_setting\":\"LOW\"}],\"reputation\":\"Unknown\",\"total_attempts\":50,\"total_targeted_attempts\":0},\"leaks\":[{\"site\":\"breach_db.txt\",\"date\":\"2025-01-10T00:00:00+00:00\"}]}",
"event": {
"action": "bait login attempt",
"category": [
"authentication",
"intrusion_detection"
],
"dataset": "mokn.bait_attempt",
"kind": "alert",
"module": "mokn",
"reason": "Opportunistic",
"severity": 3,
"type": [
"info"
]
},
"@timestamp": "2026-04-16T08:30:00Z",
"http": {
"request": {
"referrer": "https://example.com/files"
}
},
"mokn": {
"attacker_reputation": "Unknown",
"attacker_total_attempts": 50,
"attacker_total_targeted_attempts": 0,
"first_leak_date": "2025-01-10T00:00:00+00:00",
"first_leak_site": "breach_db.txt",
"id": 3,
"identification": "NAS",
"is_targeted": false,
"ja4h": "ja4h-nas-1",
"leaks": [
{
"date": "2025-01-10T00:00:00+00:00",
"site": "breach_db.txt"
}
],
"opportunistic_pattern_names": "default_creds",
"opportunistic_patterns": [
{
"name": "default_creds",
"threat_level_setting": "LOW"
}
],
"status": 2,
"threat_level": "LOW"
},
"observer": {
"product": "Baits",
"type": "honeypot",
"vendor": "MokN"
},
"related": {
"hosts": [
"example.com"
],
"ip": [
"203.0.113.5"
],
"user": [
"user1"
]
},
"rule": {
"name": "File Share"
},
"source": {
"address": "203.0.113.5",
"geo": {
"country_iso_code": "NL",
"country_name": "Netherlands"
},
"ip": "203.0.113.5"
},
"url": {
"domain": "example.com",
"registered_domain": "example.com",
"top_level_domain": "com"
},
"user": {
"email": "user1@example.com",
"name": "user1"
},
"user_agent": {
"device": {
"name": "Generic Feature Phone"
},
"name": "Other",
"original": "GenericBrowser/1.0",
"os": {
"name": "Other"
}
}
}
{
"message": "{\"event_type\":\"mokn_bait_attempt\",\"id\":6,\"date\":\"2026-04-19T16:45:00+00:00\",\"updated_time\":\"2026-04-19T16:45:00+00:00\",\"bait_name\":\"Internal Tool\",\"username\":\"user1\",\"password\":\"admin123\",\"is_targeted\":false,\"comment\":\"\",\"type\":\"Opportunistic\",\"identification\":\"Intranet\",\"status\":1,\"threat_level\":\"LOW\",\"attack\":{\"ip\":\"203.0.113.15\",\"country\":\"United States\",\"country_code\":\"US\",\"ja4h\":\"ja4h-int-1\",\"user_agent\":\"GenericBrowser/1.0\",\"headers\":[[\"Host\",\"example.com\"],[\"Referer\",\"https://example.com/tool\"]],\"opportunistic_patterns\":[{\"name\":\"default_creds\",\"threat_level_setting\":\"LOW\"}],\"reputation\":\"Unknown\",\"total_attempts\":5,\"total_targeted_attempts\":0},\"leaks\":[]}",
"event": {
"action": "bait login attempt",
"category": [
"authentication",
"intrusion_detection"
],
"dataset": "mokn.bait_attempt",
"kind": "alert",
"module": "mokn",
"reason": "Opportunistic",
"severity": 3,
"type": [
"info"
]
},
"@timestamp": "2026-04-19T16:45:00Z",
"http": {
"request": {
"referrer": "https://example.com/tool"
}
},
"mokn": {
"attacker_reputation": "Unknown",
"attacker_total_attempts": 5,
"attacker_total_targeted_attempts": 0,
"id": 6,
"identification": "Intranet",
"is_targeted": false,
"ja4h": "ja4h-int-1",
"leaks": [],
"opportunistic_pattern_names": "default_creds",
"opportunistic_patterns": [
{
"name": "default_creds",
"threat_level_setting": "LOW"
}
],
"status": 1,
"threat_level": "LOW"
},
"observer": {
"product": "Baits",
"type": "honeypot",
"vendor": "MokN"
},
"related": {
"hosts": [
"example.com"
],
"ip": [
"203.0.113.15"
],
"user": [
"user1"
]
},
"rule": {
"name": "Internal Tool"
},
"source": {
"address": "203.0.113.15",
"geo": {
"country_iso_code": "US",
"country_name": "United States"
},
"ip": "203.0.113.15"
},
"url": {
"domain": "example.com",
"registered_domain": "example.com",
"top_level_domain": "com"
},
"user": {
"name": "user1"
},
"user_agent": {
"device": {
"name": "Generic Feature Phone"
},
"name": "Other",
"original": "GenericBrowser/1.0",
"os": {
"name": "Other"
}
}
}
Extracted Fields
The following table lists the fields that are extracted, normalized under the ECS format, analyzed and indexed by the parser. It should be noted that infered fields are not listed.
| Name | Type | Description |
|---|---|---|
@timestamp |
date |
Date/time when the event originated. |
event.action |
keyword |
The action captured by the event. |
event.category |
keyword |
Event category. The second categorization field in the hierarchy. |
event.dataset |
keyword |
Name of the dataset. |
event.kind |
keyword |
The kind of the event. The highest categorization field in the hierarchy. |
event.module |
keyword |
Name of the module this data is coming from. |
event.reason |
keyword |
Reason why this event happened, according to the source |
event.severity |
long |
Numeric severity of the event. |
event.type |
keyword |
Event type. The third categorization field in the hierarchy. |
http.request.referrer |
keyword |
Referrer for this HTTP request. |
mokn.attacker_reputation |
keyword |
Reputation associated with the attacker |
mokn.attacker_total_attempts |
long |
Total number of attempts attributed to the attacker |
mokn.attacker_total_targeted_attempts |
long |
Total number of targeted attempts attributed to the attacker |
mokn.first_leak_date |
date |
Date when the credential was first seen leaked |
mokn.first_leak_site |
keyword |
Site name where the credential was first seen leaked |
mokn.id |
long |
MokN attempt identifier |
mokn.identification |
keyword |
MokN identification associated with the bait login attempt |
mokn.is_targeted |
boolean |
Whether MokN classified the bait login attempt as targeted |
mokn.ja4h |
keyword |
JA4H fingerprint observed for the bait login attempt |
mokn.leaks |
object |
Leak records associated with the bait login attempt |
mokn.opportunistic_pattern_names |
keyword |
Human-readable list of opportunistic pattern names detected by MokN |
mokn.opportunistic_patterns |
object |
Opportunistic patterns detected by MokN for the attacker |
mokn.status |
long |
MokN status code for the bait login attempt |
mokn.threat_level |
keyword |
MokN threat level associated with the bait login attempt |
observer.product |
keyword |
The product name of the observer. |
observer.type |
keyword |
The type of the observer the data is coming from. |
observer.vendor |
keyword |
Vendor name of the observer. |
related.ip |
ip |
All of the IPs seen on your event. |
related.user |
keyword |
All the user names or other user identifiers seen on the event. |
rule.name |
keyword |
Rule name |
source.address |
keyword |
Source network address. |
source.geo.country_iso_code |
keyword |
Country ISO code. |
source.geo.country_name |
keyword |
Country name. |
source.ip |
ip |
IP address of the source. |
url.domain |
keyword |
Domain of the url. |
user.email |
keyword |
User email address. |
user.name |
keyword |
Short name or login of the user. |
user_agent.original |
keyword |
Unparsed user_agent string. |
For more information on the Intake Format, please find the code of the Parser, Smart Descriptions, and Supported Events here.