T1567.004: Exfiltration Over Webhook
Adversaries may exfiltrate data to a webhook endpoint rather than over their primary command and control channel. Webhooks are simple mechanisms for allowing a server to push data over HTTP/S to a client without the need for the client to continuously poll the server.[1] Many public and commercial services, such as Discord, Slack, and `webhook.site`, support the creation of webhook endpoints that can be used by other services, such as Github, Jira, or Trello.[2] When changes happen in the linked services (such as pushing a repository update or modifying a ticket), these services will automatically post the data to the webhook endpoint for use by the consuming application.
Adversaries may link an adversary-owned environment to a victim-owned SaaS service to achieve repeated Automated Exfiltration of emails, chat messages, and other data.[3] Alternatively, instead of linking the webhook endpoint to a service, an adversary can manually post staged data directly to the URL in order to exfiltrate it.[4]
Access to webhook endpoints is often over HTTPS, which gives the adversary an additional level of protection. Exfiltration leveraging webhooks can also blend in with normal network traffic if the webhook endpoint points to a commonly used SaaS application or collaboration service.[5][6][7]
Security context for executives and security teams
T1567.004: Exfiltration Over Webhook describes Adversaries may exfiltrate data to a webhook endpoint rather than over their primary command and control channel. Webhooks are simple mechanisms for allowing a server to push data over HTTP/S to a client without the need for the client to continuously poll the server.(Citation: RedHat Webhooks) Many public and commercial services, such as Discord, Slack, and `webhook.site`, support the creation of webhook endpoints that can be used by other services, such as Github, Jira, or Trello.(Citation: Discord Intro to Webho...
Executive priority
T1567.004: Exfiltration Over Webhook is an official MITRE ATT&CK technique. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate T1567.004: Exfiltration Over Webhook by reviewing the official ATT&CK relationships, mapped tactics (exfiltration), supported platforms (ESXi, Linux, macOS, Office Suite), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Network, endpoint, and security-tool telemetry
Detection direction
- Validate whether T1567.004: Exfiltration Over Webhook appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Exfiltration Over Webhook
Adversaries may exfiltrate data to a webhook endpoint rather than over their primary command and control channel. Webhooks are simple mechanisms for allowing a server to push data over HTTP/S to a client without the need for the client to continuously poll the server.[1] Many public and commercial services, such as Discord, Slack, and `webhook.site`, support the creation of webhook endpoints that can be used by other services, such as Github, Jira, or Trello.[2] When changes happen in the linked services (such as pushing a repository update or modifying a ticket), these services will automatically post the data to the webhook endpoint for use by the consuming application.
Adversaries may link an adversary-owned environment to a victim-owned SaaS service to achieve repeated Automated Exfiltration of emails, chat messages, and other data.[3] Alternatively, instead of linking the webhook endpoint to a service, an adversary can manually post staged data directly to the URL in order to exfiltrate it.[4]
Access to webhook endpoints is often over HTTPS, which gives the adversary an additional level of protection. Exfiltration leveraging webhooks can also blend in with normal network traffic if the webhook endpoint points to a commonly used SaaS application or collaboration service.[5][6][7]
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Related techniques
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1567 | Exfiltration Over Web Service | This object subtechnique of Exfiltration Over Web Service. |
Groups, software, and campaigns
S9008: Shai-Hulud
Shai-Hulud is a supply chain worm, first reported in September 2025, that spreads through code repositories, including GitHub and NPM packages. It exploits CI/CD pipeline dependencies to propagate to victims and poisons the supply chain by publishing malicious packages. Once inside a victim environment, Shai-Hulud steals credentials and access tokens from compromised repository accounts and exfiltrates them to attacker-controlled servers via encoded GitHub Actions workflows.[1][2][3][4][5][6][7]
C0063: 2025 Poland Wiper Attacks
2025 Poland Wiper Attacks is a Russian state-sponsored campaign that conducted destructive cyberattacks against Polish energy infrastructure in December 2025. Targets included more than 30 wind and photovoltaic farms, a combined heat and power (CHP) plant, and a manufacturing sector company. The attacks on the distributed energy resources (DER) disrupted communications between affected facilities and the distribution system operator, but did not impact electricity generation or heat supply. Across the campaign, threat actors deployed two previously undocumented wiper tools, DynoWiper, a Windows-based wiper and LazyWiper, a PowerShell wiper, distributed via malicious Group Policy Objects. At the CHP plant, threat actors had maintained access since at least March 2025, using that foothold to obtain credentials and move laterally before attempting wiper deployment. Some reporting has assessed the activity to be consistent with Russian Federal Security Service (FSB) threat activity group Dragonfly, also tracked as STATIC TUNDRA, while other reporting attributes the destructive wiper activities to the Russian General Staff Main Intelligence Directorate (GRU) threat activity group ELECTRUM, also tracked as Sandworm Team.[1][2][3][4]
All related ATT&CK context
Mitigation direction
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates.
Imported snapshots across ATT&CK releases(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 1.2 | Current bundle | a4608575e2f5… | ||
| 19.1 | 1.2 | Older bundle | a4608575e2f5… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
- [1]RedHat Webhooks
RedHat. (2022, June 1). What is a webhook?. Retrieved July 20, 2023.
Open source URL - [2]Discord Intro to Webhooks
D. (n.d.). Intro to Webhooks. Retrieved July 20, 2023.
Open source URL - [3]Push Security SaaS Attacks Repository Webhooks
Push Security. (2023, July 31). Webhooks. Retrieved August 4, 2023.
Open source URL - [4]Microsoft SQL Server
Microsoft Threat Intelligence. (2023, October 3). Defending new vectors: Threat actors attempt SQL Server to cloud lateral movement. Retrieved October 3, 2023.
Open source URL - [5]CyberArk Labs Discord
CyberArk Labs. (2023, April 13). The (Not so) Secret War on Discord. Retrieved July 20, 2023.
Open source URL - [6]Talos Discord Webhook Abuse
Nick Biasini, Edmund Brumaghin, Chris Neal, and Paul Eubanks. (2021, April 7). https://blog.talosintelligence.com/collab-app-abuse/. Retrieved July 20, 2023.
Open source URL - [7]Checkmarx Webhooks
Jossef Harush Kadouri. (2022, March 7). Webhook Party — Malicious packages caught exfiltrating data via legit webhook services. Retrieved July 20, 2023.
Open source URL - [8]mitre-attackT1567.004Open source URL
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