Abnormal AI
| Version | 1.10.0 (View all) |
| Compatible Kibana version(s) | 8.17.0 or higher 9.0.0 or higher |
| Supported Serverless project types What's this? | Security Observability |
| Subscription level What's this? | Basic |
| Level of support What's this? | Elastic |
Abnormal AI is a behavioral AI-based email security platform that learns the behavior of every identity in a cloud email environment and analyzes the risk of every event to block even the most sophisticated attacks.
The Abnormal AI integration collects data for AI Security Mailbox (formerly known as Abuse Mailbox), Audit, Case, and Threat logs using REST API.
The Abnormal AI integration collects six types of logs:
AI Security Mailbox - Get details of AI Security Mailbox.
AI Security Mailbox Not Analyzed - Get details of messages submitted to AI Security Mailbox that were not analyzed.
Audit - Get details of Audit logs for Portal.
Case - Get details of Abnormal Cases.
Threat - Get details of Abnormal Threat Logs.
Vendor Case - Get details of Abnormal Vendor Cases.
Elastic Agent must be installed. For more details, check the Elastic Agent installation instructions.
- Visit the Abnormal AI Portal and click on the
Abnormal REST APIsetting.
- Retrieve your authentication token. This token will be used further in the Elastic integration setup to authenticate and access different Abnormal AI Logs.
- Abnormal AI requires you to restrict API access based on source IP. So in order for the integration to work, user needs to update the IP allowlisting to include the external source IP of the endpoint running the integration via Elastic Agent.
- In Kibana navigate to Management > Integrations.
- In "Search for integrations" top bar, search for
Abnormal AI. - Select the "Abnormal AI" integration from the search results.
- Select "Add Abnormal AI" to add the integration.
- Add all the required integration configuration parameters, including Access Token, Interval, Initial Interval and Page Size to enable data collection.
- Select "Save and continue" to save the integration.
Note
By default, the URL is set to https://api.abnormalplatform.com. We have observed that Abnormal AI Base URL changes based on location so find your own base URL.
Introduced in version 1.8.0, the Abnormal AI integration includes a new option called Enable Attachments and Links enrichment for the Threat data stream. When enabled, this feature enriches incoming threat events with additional details about any attachments and links included in the original message.
This is the ai_security_mailbox dataset.
Example
{ "@timestamp": "2024-07-26T10:30:06.000Z", "abnormal_security": { "ai_security_mailbox": { "attack": { "type": "Attack Type: Graymail" }, "campaign_id": "fff51768-c446-34e1-97a8-9802c29c3ebd", "first_reported": "2024-07-26T10:30:06.000Z", "from": { "address": "bob@example.com", "name": "bob@example.com" }, "judgement_status": "Safe", "last_reported": "2024-07-26T10:30:06.000Z", "message_id": "7063250485337877109", "overall_status": "No Action Needed", "recipient": { "address": "john@example.com", "name": "john" }, "subject": "Days of Understanding 2024" } }, "agent": { "ephemeral_id": "cafadbdd-dc09-45ac-aec4-49d7250ebd32", "id": "9783be93-6fa9-44ba-8f6d-eda7dcb99151", "name": "docker-fleet-agent", "type": "filebeat", "version": "8.13.0" }, "data_stream": { "dataset": "abnormal_security.ai_security_mailbox", "namespace": "38204", "type": "logs" }, "destination": { "user": { "name": "john" } }, "ecs": { "version": "8.11.0" }, "elastic_agent": { "id": "9783be93-6fa9-44ba-8f6d-eda7dcb99151", "snapshot": false, "version": "8.13.0" }, "email": { "from": { "address": [ "bob@example.com" ] }, "subject": "Days of Understanding 2024", "to": { "address": [ "john@example.com" ] } }, "event": { "agent_id_status": "verified", "dataset": "abnormal_security.ai_security_mailbox", "id": "7063250485337877109", "ingested": "2024-08-08T05:41:05Z", "kind": "event", "original": "{\"attackType\":\"Attack Type: Graymail\",\"campaignId\":\"fff51768-c446-34e1-97a8-9802c29c3ebd\",\"firstReported\":\"2024-07-26T10:30:06Z\",\"fromAddress\":\"bob@example.com\",\"fromName\":\"bob@example.com\",\"judgementStatus\":\"Safe\",\"lastReported\":\"2024-07-26T10:30:06Z\",\"messageId\":\"7063250485337877109\",\"overallStatus\":\"No Action Needed\",\"recipientAddress\":\"john@example.com\",\"recipientName\":\"john\",\"subject\":\"Days of Understanding 2024\"}" }, "input": { "type": "cel" }, "observer": { "product": "Inbound Email Security", "vendor": "Abnormal" }, "related": { "user": [ "bob@example.com", "john@example.com", "john" ] }, "tags": [ "preserve_original_event", "preserve_duplicate_custom_fields", "forwarded", "abnormal_security-ai_security_mailbox" ], "threat": { "tactic": { "name": [ "Attack Type: Graymail" ] } }, "user": { "email": "bob@example.com" } } Exported fields
| Field | Description | Type |
|---|---|---|
| @timestamp | Event timestamp. | date |
| abnormal_security.ai_security_mailbox.attack.type | The type of threat the message represents. | keyword |
| abnormal_security.ai_security_mailbox.campaign_id | An ID which maps to an abuse campaign. | keyword |
| abnormal_security.ai_security_mailbox.first_reported | Date abuse campaign was first reported. | date |
| abnormal_security.ai_security_mailbox.from.address | The email address of the sender. | keyword |
| abnormal_security.ai_security_mailbox.from.name | The display name of the sender. | keyword |
| abnormal_security.ai_security_mailbox.judgement_status | Judgement status of message. | keyword |
| abnormal_security.ai_security_mailbox.last_reported | Date abuse campaign was last reported. | date |
| abnormal_security.ai_security_mailbox.message_id | A unique identifier for the first message in the abuse campaign. | keyword |
| abnormal_security.ai_security_mailbox.overall_status | Overall status of message. | keyword |
| abnormal_security.ai_security_mailbox.recipient.address | The email address of the recipient. | keyword |
| abnormal_security.ai_security_mailbox.recipient.name | The name of the recipient. | keyword |
| abnormal_security.ai_security_mailbox.subject | Subject of the first email in the abuse campaign. | keyword |
| data_stream.dataset | Data stream dataset. | constant_keyword |
| data_stream.namespace | Data stream namespace. | constant_keyword |
| data_stream.type | Data stream type. | constant_keyword |
| event.dataset | Event dataset. | constant_keyword |
| event.module | Event module. | constant_keyword |
| input.type | Type of filebeat input. | keyword |
| log.offset | Log offset. | long |
This is the ai_security_mailbox_not_analyzed dataset.
Example
{ "@timestamp": "2025-03-04T17:03:55.000Z", "abnormal_security": { "ai_security_mailbox_not_analyzed": { "abx_message_id": "-1234567891234568000", "reason": "PHISHING_SIMULATION", "recipient": { "address": "phishing@test.com", "name": "Phishing Test" }, "reported_time": "2025-03-04T17:03:55Z", "reporter": { "address": "info@test.com", "name": "Info Test" }, "subject": "Fwd: Forwarded email" } }, "agent": { "ephemeral_id": "30574c81-fa18-4fa0-88fe-9a5402bf1562", "id": "49766dbb-8c1b-41e5-ac89-e0a87c0d6249", "name": "elastic-agent-94210", "type": "filebeat", "version": "8.17.3" }, "data_stream": { "dataset": "abnormal_security.ai_security_mailbox_not_analyzed", "namespace": "17196", "type": "logs" }, "ecs": { "version": "8.11.0" }, "elastic_agent": { "id": "49766dbb-8c1b-41e5-ac89-e0a87c0d6249", "snapshot": false, "version": "8.17.3" }, "email": { "subject": "Fwd: Forwarded email", "to": { "address": [ "phishing@test.com" ] } }, "event": { "agent_id_status": "verified", "category": [ "email" ], "dataset": "abnormal_security.ai_security_mailbox_not_analyzed", "id": "-1234567891234568000", "ingested": "2025-04-08T00:08:23Z", "kind": "event", "original": "{\"abx_message_id\":-1234567891234568000,\"not_analyzed_reason\":\"PHISHING_SIMULATION\",\"recipient\":{\"email\":\"phishing@test.com\",\"name\":\"Phishing Test\"},\"reported_datetime\":\"2025-03-04T17:03:55Z\",\"reporter\":{\"email\":\"info@test.com\",\"name\":\"Info Test\"},\"subject\":\"Fwd: Forwarded email\"}", "reason": "PHISHING_SIMULATION", "type": [ "info" ] }, "input": { "type": "cel" }, "observer": { "product": "Inbound Email Security", "vendor": "Abnormal" }, "related": { "user": [ "phishing@test.com", "Phishing Test", "info@test.com", "Info Test" ] }, "tags": [ "preserve_original_event", "preserve_duplicate_custom_fields", "forwarded", "abnormal_security-ai_security_mailbox_not_analyzed" ] } Exported fields
| Field | Description | Type |
|---|---|---|
| @timestamp | Event timestamp. | date |
| abnormal_security.ai_security_mailbox_not_analyzed.abx_message_id | Unique ID for the message in Abnormal AI Security Mailbox. | keyword |
| abnormal_security.ai_security_mailbox_not_analyzed.reason | Reason why this message wasn't analyzed by the AI engine. | keyword |
| abnormal_security.ai_security_mailbox_not_analyzed.recipient.address | The email address of the recipient. | keyword |
| abnormal_security.ai_security_mailbox_not_analyzed.recipient.name | The name of the recipient. | keyword |
| abnormal_security.ai_security_mailbox_not_analyzed.reported_time | Date When the message was reported. | date |
| abnormal_security.ai_security_mailbox_not_analyzed.reporter.address | The email address of the reporter. | keyword |
| abnormal_security.ai_security_mailbox_not_analyzed.reporter.name | The name of the reporter. | keyword |
| abnormal_security.ai_security_mailbox_not_analyzed.subject | Subject of the reported email. | keyword |
| data_stream.dataset | Data stream dataset. | constant_keyword |
| data_stream.namespace | Data stream namespace. | constant_keyword |
| data_stream.type | Data stream type. | constant_keyword |
| event.dataset | Event dataset. | constant_keyword |
| event.module | Event module. | constant_keyword |
| input.type | Type of filebeat input. | keyword |
| log.offset | Log offset. | long |
This is the audit dataset.
Example
{ "@timestamp": "2024-07-17T15:39:32.141Z", "abnormal_security": { "audit": { "action": "update_remediation_status", "action_details": { "request_url": "/v1.0/search_v2/666/purge_messages/" }, "category": "search-and-respond-notifications", "source_ip": "81.2.69.142", "status": "SUCCESS", "timestamp": "2024-07-17T15:39:32.141Z", "user": { "email": "bob@example.com" } } }, "agent": { "ephemeral_id": "40cced4d-2587-4880-a6ad-3fe697d9ca7f", "id": "7aaba523-565c-4597-bc42-59135436336b", "name": "docker-fleet-agent", "type": "filebeat", "version": "8.13.0" }, "data_stream": { "dataset": "abnormal_security.audit", "namespace": "19380", "type": "logs" }, "ecs": { "version": "8.11.0" }, "elastic_agent": { "id": "7aaba523-565c-4597-bc42-59135436336b", "snapshot": false, "version": "8.13.0" }, "event": { "action": "update_remediation_status", "agent_id_status": "verified", "category": [ "configuration" ], "dataset": "abnormal_security.audit", "ingested": "2024-08-06T09:41:39Z", "kind": "event", "original": "{\"action\":\"update_remediation_status\",\"actionDetails\":{\"providedReason\":\"null\",\"requestUrl\":\"/v1.0/search_v2/666/purge_messages/\"},\"category\":\"search-and-respond-notifications\",\"sourceIp\":\"81.2.69.142\",\"status\":\"SUCCESS\",\"tenantName\":\"\",\"timestamp\":\"2024-07-17 15:39:32.141000+00:00\",\"user\":{\"email\":\"bob@example.com\"}}", "outcome": "success", "type": [ "info", "change" ] }, "input": { "type": "cel" }, "observer": { "product": "Inbound Email Security", "vendor": "Abnormal" }, "related": { "ip": [ "81.2.69.142" ], "user": [ "bob@example.com" ] }, "source": { "geo": { "city_name": "London", "continent_name": "Europe", "country_iso_code": "GB", "country_name": "United Kingdom", "location": { "lat": 51.5142, "lon": -0.0931 }, "region_iso_code": "GB-ENG", "region_name": "England" }, "ip": "81.2.69.142" }, "tags": [ "preserve_original_event", "preserve_duplicate_custom_fields", "forwarded", "abnormal_security-audit" ], "url": { "extension": "0/search_v2/666/purge_messages/", "original": "/v1.0/search_v2/666/purge_messages/", "path": "/v1.0/search_v2/666/purge_messages/" }, "user": { "email": "bob@example.com" } } Exported fields
| Field | Description | Type |
|---|---|---|
| @timestamp | Event timestamp. | date |
| abnormal_security.audit.action | The specific action performed during the event. This field is optional and may not be present. | keyword |
| abnormal_security.audit.action_details.message_id | ID of the message on which an action was performed. | keyword |
| abnormal_security.audit.action_details.provided_reason | Reason provided for performing the action. | keyword |
| abnormal_security.audit.action_details.request_url | URL for the request. | keyword |
| abnormal_security.audit.category | The category of the performed action. | keyword |
| abnormal_security.audit.source_ip | The IP address of the device that caused the event. | ip |
| abnormal_security.audit.status | The result of the event. Returned as either SUCCESS or FAILURE. | keyword |
| abnormal_security.audit.tenant_name | Name of the tenant the user has access to. | keyword |
| abnormal_security.audit.timestamp | Date/time when the event occurred in UTC. | date |
| abnormal_security.audit.user.email | Email address of the user. | keyword |
| data_stream.dataset | Data stream dataset. | constant_keyword |
| data_stream.namespace | Data stream namespace. | constant_keyword |
| data_stream.type | Data stream type. | constant_keyword |
| event.dataset | Event dataset. | constant_keyword |
| event.module | Event module. | constant_keyword |
| input.type | Type of filebeat input. | keyword |
| log.offset | Log offset. | long |
This is the case dataset.
Example
{ "@timestamp": "2024-08-06T09:42:32.438Z", "abnormal_security": { "case": { "affected_employee": "john@example.com", "analysis": "SIGN_IN", "customer_visible_time": "2024-01-05T12:33:25.000Z", "first_observed": "2024-01-05T12:33:25.000Z", "id": "1234", "remediation_status": "Not remediated", "severity": "Account Takeover", "severity_level": "LOW", "status": "Acknowledged (Attack resolved)" } }, "agent": { "ephemeral_id": "d459a481-d0b8-4f26-afd1-ceed8531465a", "id": "7aaba523-565c-4597-bc42-59135436336b", "name": "docker-fleet-agent", "type": "filebeat", "version": "8.13.0" }, "data_stream": { "dataset": "abnormal_security.case", "namespace": "48573", "type": "logs" }, "ecs": { "version": "8.11.0" }, "elastic_agent": { "id": "7aaba523-565c-4597-bc42-59135436336b", "snapshot": false, "version": "8.13.0" }, "event": { "action": "sign_in", "agent_id_status": "verified", "dataset": "abnormal_security.case", "id": "1234", "ingested": "2024-08-06T09:42:44Z", "kind": "event", "original": "{\"affectedEmployee\":\"john@example.com\",\"analysis\":\"SIGN_IN\",\"caseId\":1234,\"case_status\":\"Acknowledged (Attack resolved)\",\"customerVisibleTime\":\"2024-01-05T12:33:25+00:00\",\"firstObserved\":\"2024-01-05T12:33:25+00:00\",\"remediation_status\":\"Not remediated\",\"severity\":\"Account Takeover\",\"severity_level\":\"LOW\",\"threatIds\":[]}", "severity": 1, "start": "2024-01-05T12:33:25.000Z", "type": [ "info" ] }, "input": { "type": "cel" }, "observer": { "product": "Inbound Email Security", "vendor": "Abnormal" }, "related": { "user": [ "john@example.com" ] }, "tags": [ "preserve_original_event", "preserve_duplicate_custom_fields", "forwarded", "abnormal_security-case" ], "user": { "email": "john@example.com" } } Exported fields
| Field | Description | Type |
|---|---|---|
| @timestamp | Event timestamp. | date |
| abnormal_security.case.affected_employee | Which employee this case pertains to. | keyword |
| abnormal_security.case.analysis | keyword | |
| abnormal_security.case.customer_visible_time | date | |
| abnormal_security.case.description | keyword | |
| abnormal_security.case.first_observed | First time suspicious behavior was observed. | date |
| abnormal_security.case.id | A unique identifier for this case. | keyword |
| abnormal_security.case.remediation_status | keyword | |
| abnormal_security.case.severity | Description of the severity level for this case. | keyword |
| abnormal_security.case.severity_level | keyword | |
| abnormal_security.case.status | keyword | |
| abnormal_security.case.threat_ids | Threats related to Case. | keyword |
| data_stream.dataset | Data stream dataset. | constant_keyword |
| data_stream.namespace | Data stream namespace. | constant_keyword |
| data_stream.type | Data stream type. | constant_keyword |
| event.dataset | Event dataset. | constant_keyword |
| event.module | Event module. | constant_keyword |
| input.type | Type of filebeat input. | keyword |
| log.offset | Log offset. | long |
This is the vendor_case dataset.
Example
{ "@timestamp": "2025-04-04T13:15:26.820Z", "abnormal_security": { "vendor_case": { "domain": "domain1.com", "first_observed_time": "2025-04-18T08:02:21.512Z", "id": "1234", "insights": [ { "description": "The language contained in the email body is consistent with fraud.", "highlight": "Fraud Language" } ], "last_modified_time": "2025-03-15T03:02:21.512Z", "timeline": [ { "event_timestamp": "2025-03-30T08:32:21.512849+05:30", "marked_as": "Malicious", "recipient_address": "recipient1@domain.com", "sender_address": "sender1@domain.com", "subject": "Subject", "threat_id": "threat1" } ] } }, "agent": { "ephemeral_id": "6458e758-f9d1-4949-98bd-9efaae9e0b53", "id": "3b24d5d3-6344-4f8a-81cd-29846dc47e1c", "name": "elastic-agent-13136", "type": "filebeat", "version": "8.17.3" }, "data_stream": { "dataset": "abnormal_security.vendor_case", "namespace": "84924", "type": "logs" }, "ecs": { "version": "8.11.0" }, "elastic_agent": { "id": "3b24d5d3-6344-4f8a-81cd-29846dc47e1c", "snapshot": false, "version": "8.17.3" }, "event": { "agent_id_status": "verified", "dataset": "abnormal_security.vendor_case", "id": "1234", "ingested": "2025-04-04T13:15:29Z", "kind": "event", "original": "{\"firstObservedTime\":\"2025-04-18T13:32:21.512848+05:30\",\"insights\":[{\"description\":\"The language contained in the email body is consistent with fraud.\",\"highlight\":\"Fraud Language\"}],\"lastModifiedTime\":\"2025-03-15T08:32:21.512849+05:30\",\"timeline\":[{\"eventTimestamp\":\"2025-03-30T08:32:21.512849+05:30\",\"markedAs\":\"Malicious\",\"recipientAddress\":\"recipient1@domain.com\",\"senderAddress\":\"sender1@domain.com\",\"subject\":\"Subject\",\"threatId\":\"threat1\"}],\"vendorCaseId\":1234,\"vendorDomain\":\"domain1.com\"}", "start": "2025-04-18T08:02:21.512Z", "type": [ "info" ] }, "input": { "type": "cel" }, "observer": { "product": "Inbound Email Security", "vendor": "Abnormal" }, "tags": [ "preserve_original_event", "preserve_duplicate_custom_fields", "forwarded", "abnormal_security-vendor_case" ] } Exported fields
| Field | Description | Type |
|---|---|---|
| @timestamp | Event timestamp. | date |
| abnormal_security.vendor_case.domain | Domain associated with the vendor. | keyword |
| abnormal_security.vendor_case.first_observed_time | Timestamp when the case was first observed. | date |
| abnormal_security.vendor_case.id | Unique identifier for the vendor's case. | keyword |
| abnormal_security.vendor_case.insights.description | Detailed description of the insight. | text |
| abnormal_security.vendor_case.insights.highlight | Highlight or category of the insight. | keyword |
| abnormal_security.vendor_case.last_modified_time | Timestamp when the case was last modified. | date |
| abnormal_security.vendor_case.timeline.event_timestamp | Timestamp when the event occurred. | date |
| abnormal_security.vendor_case.timeline.marked_as | Classification of the event (e.g., Malicious). | keyword |
| abnormal_security.vendor_case.timeline.recipient_address | Email address of the recipient. | keyword |
| abnormal_security.vendor_case.timeline.sender_address | Email address of the sender. | keyword |
| abnormal_security.vendor_case.timeline.subject | Email subject line. | text |
| abnormal_security.vendor_case.timeline.threat_id | Identifier for the associated threat. | keyword |
| data_stream.dataset | Data stream dataset. | constant_keyword |
| data_stream.namespace | Data stream namespace. | constant_keyword |
| data_stream.type | Data stream type. | constant_keyword |
| event.dataset | Event dataset. | constant_keyword |
| event.module | Event module. | constant_keyword |
| input.type | Type of filebeat input. | keyword |
| log.offset | Log offset. | long |
This is the threat dataset.
Example
{ "@timestamp": "2024-07-17T23:25:38.000Z", "abnormal_security": { "threat": { "abx_message_id": "2260288475997441028", "abx_portal_url": "https://portal.abnormalsecurity.com/home/threat-center/remediation-history/3456765434567654", "attachment_count": 0, "attachment_names": [ "attachment1.txt", "attachment2.txt" ], "attack": { "strategy": "Unknown Sender", "type": "Spam", "vector": "Link" }, "attacked_party": "Employee (Other)", "auto_remediated": true, "from_address": "john@example.com", "from_name": "john", "id": "bf255f2d-a2ad-3f50-5075-fdcc24308bbd", "impersonated_party": "None / Others", "internet_message_id": "<AZz8NUMEST-qmuz77_koic@example>", "is_read": false, "links": [ { "display_text": "This is not a spoof!", "domain": "lamronba.com", "source": "body", "type": "html href", "url": "http://spoof.lamronba.com" }, { "display_text": "This is not a spoof!", "domain": "lamronba2.com", "source": "body", "type": "html href", "url": "http://spoof.lamronba2.com" } ], "post_remediated": false, "received_time": "2024-07-17T23:25:38.000Z", "recipient_address": "bob@example.com", "remediation_status": "Auto-Remediated", "remediation_timestamp": "2024-07-17T23:25:45.735Z", "return_path": "bounce-bob_H181S7GUCF@example.com", "sender_domain": "example.com", "sender_ip_address": "81.2.69.142", "sent_time": "2024-07-17T23:25:29.000Z", "subject": "YoU.have.𝗪𝟬0𝗡𝗡 a K0baIt 215-piece_ToooI_Set_Noo0wW..#GBOB", "summary_insights": [ "Abnormal Email Body HTML", "Invisible characters found in Email", "Suspicious Link", "Unusual Sender", "Unusual Sender Domain" ], "to_addresses": [ "bob@example.com" ], "url_count": 1, "urls": [ "https://www.example.com/" ] } }, "agent": { "ephemeral_id": "021dbd0a-1980-4dce-b34a-e17fa36bd368", "id": "4d67d2b3-ec2b-471b-bcb6-247a08f9ec92", "name": "elastic-agent-17870", "type": "filebeat", "version": "8.17.3" }, "data_stream": { "dataset": "abnormal_security.threat", "namespace": "20873", "type": "logs" }, "ecs": { "version": "8.11.0" }, "elastic_agent": { "id": "4d67d2b3-ec2b-471b-bcb6-247a08f9ec92", "snapshot": false, "version": "8.17.3" }, "email": { "attachments": [ { "file": { "extension": "txt", "name": "attachment1.txt" } }, { "file": { "extension": "txt", "name": "attachment2.txt" } } ], "delivery_timestamp": "2024-07-17T23:25:38.000Z", "from": { "address": [ "john@example.com" ] }, "message_id": "<AZz8NUMEST-qmuz77_koic@example>", "origination_timestamp": "2024-07-17T23:25:29.000Z", "subject": "YoU.have.𝗪𝟬0𝗡𝗡 a K0baIt 215-piece_ToooI_Set_Noo0wW..#GBOB", "to": { "address": [ "bob@example.com" ] } }, "event": { "agent_id_status": "verified", "category": [ "threat", "email" ], "dataset": "abnormal_security.threat", "id": "2260288475997441028", "ingested": "2025-05-20T06:55:26Z", "kind": "enrichment", "original": "{\"abxMessageId\":2260288475997441000,\"abxMessageIdStr\":\"2260288475997441028\",\"abxPortalUrl\":\"https://portal.abnormalsecurity.com/home/threat-center/remediation-history/3456765434567654\",\"attachmentCount\":0,\"attachmentNames\":[],\"attachments\":[\"attachment1.txt\",\"attachment2.txt\"],\"attackStrategy\":\"Unknown Sender\",\"attackType\":\"Spam\",\"attackVector\":\"Link\",\"attackedParty\":\"Employee (Other)\",\"autoRemediated\":true,\"ccEmails\":[],\"fromAddress\":\"john@example.com\",\"fromName\":\"john\",\"impersonatedParty\":\"None / Others\",\"internetMessageId\":\"\\u003cAZz8NUMEST-qmuz77_koic@example\\u003e\",\"isRead\":false,\"links\":[{\"display_text\":\"This is not a spoof!\",\"domain\":\"lamronba.com\",\"source\":\"body\",\"type\":\"html href\",\"url\":\"http://spoof.lamronba.com\"},{\"display_text\":\"This is not a spoof!\",\"domain\":\"lamronba2.com\",\"source\":\"body\",\"type\":\"html href\",\"url\":\"http://spoof.lamronba2.com\"}],\"postRemediated\":false,\"receivedTime\":\"2024-07-17T23:25:38Z\",\"recipientAddress\":\"bob@example.com\",\"remediationStatus\":\"Auto-Remediated\",\"remediationTimestamp\":\"2024-07-17T23:25:45.73564Z\",\"replyToEmails\":[],\"returnPath\":\"bounce-bob_H181S7GUCF@example.com\",\"senderDomain\":\"example.com\",\"senderIpAddress\":\"81.2.69.142\",\"sentTime\":\"2024-07-17T23:25:29Z\",\"subject\":\"YoU.have.𝗪𝟬0𝗡𝗡 a K0baIt 215-piece_ToooI_Set_Noo0wW..#GBOB\",\"summaryInsights\":[\"Abnormal Email Body HTML\",\"Invisible characters found in Email\",\"Suspicious Link\",\"Unusual Sender\",\"Unusual Sender Domain\"],\"threatId\":\"bf255f2d-a2ad-3f50-5075-fdcc24308bbd\",\"toAddresses\":[\"bob@example.com\"],\"urlCount\":1,\"urls\":[\"https://www.example.com/\"]}", "reference": "https://portal.abnormalsecurity.com/home/threat-center/remediation-history/3456765434567654", "type": [ "indicator", "info" ] }, "input": { "type": "cel" }, "observer": { "product": "Inbound Email Security", "vendor": "Abnormal" }, "related": { "hosts": [ "example.com" ], "ip": [ "81.2.69.142" ], "user": [ "john@example.com", "john", "bob@example.com", "bounce-bob_H181S7GUCF@example.com" ] }, "source": { "domain": "example.com", "geo": { "city_name": "London", "continent_name": "Europe", "country_iso_code": "GB", "country_name": "United Kingdom", "location": { "lat": 51.5142, "lon": -0.0931 }, "region_iso_code": "GB-ENG", "region_name": "England" }, "ip": "81.2.69.142" }, "tags": [ "preserve_original_event", "preserve_duplicate_custom_fields", "forwarded", "abnormal_security-threat" ], "threat": { "indicator": { "email": { "address": "john@example.com" }, "name": "john@example.com", "reference": "https://portal.abnormalsecurity.com/home/threat-center/remediation-history/3456765434567654", "type": "email-addr" }, "tactic": { "name": [ "Spam" ] }, "technique": { "name": [ "Unknown Sender" ] } }, "user": { "name": "john" } } Exported fields
| Field | Description | Type |
|---|---|---|
| @timestamp | Event timestamp. | date |
| abnormal_security.threat.abx_message_id | A unique identifier for an individual message within a threat (i.e email campaign). | keyword |
| abnormal_security.threat.abx_portal_url | The URL at which the specific message details are viewable in Abnormal AI's Portal web interface. | keyword |
| abnormal_security.threat.attachment_count | Number of attachments in email (only available for IESS customers). | long |
| abnormal_security.threat.attachment_names | List of attachment names, if any. Attachments retrieved from the attachments endpoint are appended to this field if enrichment is enabled. | keyword |
| abnormal_security.threat.attack.strategy | keyword | |
| abnormal_security.threat.attack.type | The type of threat the message represents. | keyword |
| abnormal_security.threat.attack.vector | The attack medium. | keyword |
| abnormal_security.threat.attacked_party | The party that was targeted by an attack. | keyword |
| abnormal_security.threat.auto_remediated | Indicates whether Abnormal has automatically detected and remediated the message from the user's Inbox. Note : Abnormal has retained this field and the postRemediated field to support prior integrations, but in newly created integrations, you should capture this information from the remediationStatus field. | boolean |
| abnormal_security.threat.cc_emails | List of email addresses CC'ed. | keyword |
| abnormal_security.threat.from_address | The email address of the sender. | keyword |
| abnormal_security.threat.from_name | The display name of the sender. | keyword |
| abnormal_security.threat.id | An ID which maps to a threat campaign. A threat campaign might be received by multiple users. | keyword |
| abnormal_security.threat.impersonated_party | Impersonated party, if any. | keyword |
| abnormal_security.threat.internet_message_id | The internet message ID, per RFC 822. | keyword |
| abnormal_security.threat.is_read | Whether an email has been read. | boolean |
| abnormal_security.threat.links.display_text | The link's display text. | keyword |
| abnormal_security.threat.links.domain | The domain name of the link. | keyword |
| abnormal_security.threat.links.source | The location in the email where the link may be found. | keyword |
| abnormal_security.threat.links.type | The type of link in the email. | keyword |
| abnormal_security.threat.links.url | The URL of the link. | keyword |
| abnormal_security.threat.post_remediated | Indicates whether Abnormal remediated the campaign at a later time, after landing in the user's Inbox. Note: Abnormal has retained this field and the autoRemediated field to support prior integrations, but in newly created integrations, you should capture this information from the remediationStatus field. | boolean |
| abnormal_security.threat.received_time | The timestamp at which this message arrived. | date |
| abnormal_security.threat.recipient_address | the email address of the user who actually received the message. | keyword |
| abnormal_security.threat.remediation_status | The remediation status of the email threat. | keyword |
| abnormal_security.threat.remediation_timestamp | The timestamp at which this message was remediated, or empty if it has not been remediated. | date |
| abnormal_security.threat.reply_to_emails | The 'reply-to' list of emails. | keyword |
| abnormal_security.threat.return_path | keyword | |
| abnormal_security.threat.sender_domain | Email domain of sender (only available for IESS customers). | keyword |
| abnormal_security.threat.sender_ip_address | IP address of sender. | ip |
| abnormal_security.threat.sent_time | The timestamp at which this message was sent. | date |
| abnormal_security.threat.subject | The email subject. | keyword |
| abnormal_security.threat.summary_insights | A summary of insights into this attack. | keyword |
| abnormal_security.threat.to_addresses | All the email addresses to which the message was sent, comma-separated & truncated at 255 chars. | keyword |
| abnormal_security.threat.url_count | Number of urls in email (only available for IESS customers). | long |
| abnormal_security.threat.urls | URLs present in the email body, if any. | keyword |
| data_stream.dataset | Data stream dataset. | constant_keyword |
| data_stream.namespace | Data stream namespace. | constant_keyword |
| data_stream.type | Data stream type. | constant_keyword |
| event.dataset | Event dataset. | constant_keyword |
| event.module | Event module. | constant_keyword |
| input.type | Type of filebeat input. | keyword |
| log.offset | Log offset. | long |
Changelog
| Version | Details | Kibana version(s) |
|---|---|---|
| 1.10.0 | Enhancement (View pull request) Use terminate processor instead of fail processor to handle agent errors. | 8.17.0 or higher 9.0.0 or higher |
| 1.9.0 | Enhancement (View pull request) Rebrand integration to Abnormal AI to align with the current vendor's branding. This is a superficial branding update only and does not affect existing functionalities. | 8.17.0 or higher 9.0.0 or higher |
| 1.8.1 | Bug fix (View pull request) Prevent loss of recent unprocessed messages by the ai_security_mailbox_not_analyzed data stream. | 8.17.0 or higher 9.0.0 or higher |
| 1.8.0 | Enhancement (View pull request) Enrich threat events with attachment and link details. Bug fix (View pull request) Use abxMessageIdStr instead of the deprecated abxMessageId as message identifier. | 8.17.0 or higher 9.0.0 or higher |
| 1.7.0 | Enhancement (View pull request) Remove redundant installation instructions. | 8.17.0 or higher 9.0.0 or higher |
| 1.6.2 | Bug fix (View pull request) Fix default request trace enabled behavior. | 8.17.0 or higher 9.0.0 or higher |
| 1.6.1 | Bug fix (View pull request) Fix navigation between dashboards in tables of content. | 8.17.0 or higher 9.0.0 or higher |
| 1.6.0 | Enhancement (View pull request) New data stream for not analyzed messages in AI Security Mailbox. | 8.17.0 or higher 9.0.0 or higher |
| 1.5.0 | Enhancement (View pull request) Added support for vendor case data stream. | 8.17.0 or higher 9.0.0 or higher |
| 1.4.0 | Enhancement (View pull request) Update Kibana constraint to support 9.0.0. | 8.13.0 or higher 9.0.0 or higher |
| 1.3.1 | Bug fix (View pull request) Updated SSL description in package manifest.yml to be uniform and to include links to documentation. | 8.13.0 or higher |
| 1.3.0 | Enhancement (View pull request) Include judgementStatus field in fingerprint. | 8.13.0 or higher |
| 1.2.0 | Enhancement (View pull request) Add "preserve_original_event" tag to documents with event.kind manually set to "pipeline_error". | 8.13.0 or higher |
| 1.1.0 | Enhancement (View pull request) Add "preserve_original_event" tag to documents with event.kind set to "pipeline_error". | 8.13.0 or higher |
| 1.0.1 | Bug fix (View pull request) Fix broken link for the Abnormal Security integration. | 8.13.0 or higher |
| 1.0.0 | Enhancement (View pull request) Release package as GA. | 8.13.0 or higher |
| 0.1.2 | Bug fix (View pull request) Handles empty threats arrays correctly, ensuring REST calls continue during subsequent intervals. | — |
| 0.1.1 | Enhancement (View pull request) Update pagination termination condition in threat data stream. | — |
| 0.1.0 | Enhancement (View pull request) Initial release. | — |