LiveActive security incident?Get immediate response
MITRE ATT&CK® Technique

T1696: Anti-Automation Evasion

Adversaries may employ various means to evade or complete automation checks. Automation checks distinguish human users from bot traffic and prevent bots from reaching the web pages protected by automation checks. For example, a user may be required to solve a CAPTCHA challenge before accessing a form or login page. Traditional CAPTCHAs ask the user to decipher a string of characters, type the characters into a box, and submit the form. reCAPTCHA asks the user to identify images, click a checkbox, or evaluate the user’s behavior from mouse movement and device cookies.[1]

Adversaries may pay for a service that forwards the CAPTCHA challenge to a remote human worker. The human service then solves the CAPTCHA on behalf of the bot.[2] AI tools, such as CapSolver, can also be used to automatically solve CAPTCHA challenges.[3]

EnterpriseT1696TechniqueObject v1.0Modified
Discuss defensive coverageBack to ATT&CK
Glexia's Take · Automated analysis

Security context for executives and security teams

Automation confidenceMedium

T1696: Anti-Automation Evasion describes Adversaries may employ various means to evade or complete automation checks. Automation checks distinguish human users from bot traffic and prevent bots from reaching the web pages protected by automation checks. For example, a user may be required to solve a CAPTCHA challenge before accessing a form or login page. Traditional CAPTCHAs ask the user to decipher a string of characters, type the characters into a box, and submit the form. reCAPTCHA asks the user to identify images, click a checkbox, or evaluate the us...

Executive priority

T1696: Anti-Automation Evasion 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 T1696: Anti-Automation Evasion by reviewing the official ATT&CK relationships, mapped tactics (stealth), supported platforms (SaaS), and available local telemetry before making detection or mitigation decisions.

Likely telemetry

  • Official ATT&CK relationships and object metadata

Detection direction

  • Validate whether T1696: Anti-Automation Evasion 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.

Official MITRE ATT&CK definition

Anti-Automation Evasion

Adversaries may employ various means to evade or complete automation checks. Automation checks distinguish human users from bot traffic and prevent bots from reaching the web pages protected by automation checks. For example, a user may be required to solve a CAPTCHA challenge before accessing a form or login page. Traditional CAPTCHAs ask the user to decipher a string of characters, type the characters into a box, and submit the form. reCAPTCHA asks the user to identify images, click a checkbox, or evaluate the user’s behavior from mouse movement and device cookies.[1]

Adversaries may pay for a service that forwards the CAPTCHA challenge to a remote human worker. The human service then solves the CAPTCHA on behalf of the bot.[2] AI tools, such as CapSolver, can also be used to automatically solve CAPTCHA challenges.[3]

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

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.

ATT&CK relationship table

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.

2 rows
DomainIDNameRelationship / procedure
EnterpriseT1696.002Avoid CAPTCHASub-techniqueAvoid CAPTCHA subtechnique of this object.
EnterpriseT1696.001Automate CAPTCHA CompletionSub-techniqueAutomate CAPTCHA Completion subtechnique of this object.
Relationship explorer

All related ATT&CK context

mitigates · MitigationM1037: Filter Network TrafficEnterprisemitigates · MitigationM1031: Network Intrusion PreventionEnterprisesubtechnique of · TechniqueT1696.002: Avoid CAPTCHAEnterprisedetects · Detection StrategyDET0939: Detection of Anti-Automation EvasionEnterprisesubtechnique of · TechniqueT1696.001: Automate CAPTCHA CompletionEnterprise
Mitigations

Mitigation direction

MitigationEnterprise

M1037: Filter Network Traffic

Employ network appliances and endpoint software to filter ingress, egress, and lateral network traffic. This includes protocol-based filtering, enforcing firewall rules, and blocking or restricting traffic based on predefined conditions to limit adversary movement and data exfiltration. This mitigation can be implemented through the following measures:

Ingress Traffic Filtering:

- Use Case: Configure network firewalls to allow traffic only from authorized IP addresses to public-facing servers. - Implementation: Limit SSH (port 22) and RDP (port 3389) traffic to specific IP ranges.

Egress Traffic Filtering:

- Use Case: Use firewalls or endpoint security software to block unauthorized outbound traffic to prevent data exfiltration and command-and-control (C2) communications. - Implementation: Block outbound traffic to known malicious IPs or regions where communication is unexpected.

Protocol-Based Filtering:

- Use Case: Restrict the use of specific protocols that are commonly abused by adversaries, such as SMB, RPC, or Telnet, based on business needs. - Implementation: Disable SMBv1 on endpoints to prevent exploits like EternalBlue.

Network Segmentation:

- Use Case: Create network segments for critical systems and restrict communication between segments unless explicitly authorized. - Implementation: Implement VLANs to isolate IoT devices or guest networks from core business systems.

Application Layer Filtering:

- Use Case: Use proxy servers or Web Application Firewalls (WAFs) to inspect and block malicious HTTP/S traffic. - Implementation: Configure a WAF to block SQL injection attempts or other web application exploitation techniques.

Change history

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.

ATT&CK release
20.0
Object version
1.0
Created
Modified
Raw hash
ba578df449dd8279...
Imported snapshots across ATT&CK releases(1)
ReleaseBundle importedObject versionModifiedStatusRaw hash
20.01.0Current bundleba578df449dd…
Raw source

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.

Open mirrored raw JSONOpen MITRE-hosted copy
Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    CAPTCHAS Cloudflare

    Cloudflare. (n.d.). How CAPTCHAs work | What does CAPTCHA mean?. Retrieved September 16, 2026.

    Open source URL
  2. [2]
    CAPTCHA Bypass

    Suchintan Singh. (2025, September 8). Best Way to Bypass CAPTCHA for AI Browser Automation (August 2026). Retrieved September 16, 2026.

    Open source URL
  3. [3]
    Capsolver

    Ethan Collins. (2026, May 21). How Agentic Browsers Solve CAPTCHAs: AI CAPTCHA Solving Infrastructure. Retrieved September 16, 2026.

    Open source URL
  4. [4]
    mitre-attackT1696
    Open source URL
Source and licensing

Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.

Official MITRE ATT&CK siteOfficial STIX data repositoryMITRE ATT&CK terms of use