GITNUXSOFTWARE ADVICE
Cybersecurity Information SecurityTop 10 Best Black Box Testing Software of 2026
Compare Top 10 Black Box Testing Software picks and rankings for faster releases. See favorites like BugBug, Testim, and Mabl.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
BugBug
Visual workflow recording and execution for black box UI regression flows
Built for teams running frequent UI regression testing with shared, maintainable test cases.
Testim
AI-assisted self-healing via visual locators that reduce test failures after UI changes
Built for qA teams needing visual, low-code black box regression across changing web UIs.
Mabl
Self-healing test runs that automatically update broken selectors during UI changes
Built for product and QA teams automating end-to-end UI regression without heavy scripting.
Related reading
Comparison Table
This comparison table evaluates Black Box Testing software used for end-to-end UI workflows, including BugBug, Testim, Mabl, Functionize, and Katalon. Readers can scan key differences across automation approach, supported testing scope, integrations, execution and maintenance patterns, and reporting and debugging features.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | BugBug BugBug runs automated black-box functional checks and scans web app behavior by recording and replaying user flows to detect UI regressions and functional failures. | AI test automation | 8.4/10 | 8.7/10 | 8.1/10 | 8.3/10 |
| 2 | Testim Testim generates resilient black-box tests from user interactions and maintains them against UI changes to reduce manual test maintenance for web applications. | AI-driven test generation | 8.1/10 | 8.4/10 | 7.9/10 | 8.0/10 |
| 3 | Mabl Mabl uses black-box end-to-end tests with AI-assisted self-healing and continuous execution to catch application issues across releases. | codeless E2E | 8.2/10 | 8.4/10 | 8.6/10 | 7.4/10 |
| 4 | Functionize Functionize creates black-box test scripts from natural user journeys and automatically maps UI elements to maintain stability during changes. | self-healing black-box | 7.7/10 | 8.3/10 | 7.8/10 | 6.9/10 |
| 5 | Katalon Katalon Studio supports black-box web and mobile testing with recording, keyword-driven automation, and execution built around test cases from external behavior. | all-in-one QA | 8.1/10 | 8.4/10 | 8.0/10 | 7.8/10 |
| 6 | SmartBear TestComplete TestComplete automates black-box UI and functional tests across desktop, web, and mobile by scripting end-user interactions and validating outcomes. | UI black-box automation | 8.1/10 | 8.6/10 | 7.8/10 | 7.7/10 |
| 7 | Ranorex Ranorex automates black-box desktop and web testing with a record-and-replay approach and robust UI recognition to verify user-visible behavior. | desktop automation | 8.2/10 | 8.6/10 | 7.9/10 | 8.0/10 |
| 8 | TestRail TestRail tracks black-box test plans and results with run management, milestones, and evidence attachments for functional testing workflows. | test management | 7.8/10 | 8.0/10 | 7.5/10 | 7.8/10 |
| 9 | PractiTest PractiTest centralizes black-box test execution, defect linking, and traceability from requirements through releases. | test management | 8.0/10 | 8.3/10 | 7.6/10 | 8.0/10 |
| 10 | TestLink TestLink is a self-hosted test management system that organizes black-box test cases and collects execution results for manual and automated testing teams. | open-source test management | 7.1/10 | 7.4/10 | 6.6/10 | 7.2/10 |
BugBug runs automated black-box functional checks and scans web app behavior by recording and replaying user flows to detect UI regressions and functional failures.
Testim generates resilient black-box tests from user interactions and maintains them against UI changes to reduce manual test maintenance for web applications.
Mabl uses black-box end-to-end tests with AI-assisted self-healing and continuous execution to catch application issues across releases.
Functionize creates black-box test scripts from natural user journeys and automatically maps UI elements to maintain stability during changes.
Katalon Studio supports black-box web and mobile testing with recording, keyword-driven automation, and execution built around test cases from external behavior.
TestComplete automates black-box UI and functional tests across desktop, web, and mobile by scripting end-user interactions and validating outcomes.
Ranorex automates black-box desktop and web testing with a record-and-replay approach and robust UI recognition to verify user-visible behavior.
TestRail tracks black-box test plans and results with run management, milestones, and evidence attachments for functional testing workflows.
PractiTest centralizes black-box test execution, defect linking, and traceability from requirements through releases.
TestLink is a self-hosted test management system that organizes black-box test cases and collects execution results for manual and automated testing teams.
BugBug
AI test automationBugBug runs automated black-box functional checks and scans web app behavior by recording and replaying user flows to detect UI regressions and functional failures.
Visual workflow recording and execution for black box UI regression flows
BugBug stands out for converting business-facing black box testing needs into actionable visual and workflow-driven test execution. It focuses on recording, maintaining, and running UI-driven tests across typical web application flows. It also supports structured test cases and reusable steps that reduce repetitive authoring. Collaboration features center on sharing results and tracking regressions across releases.
Pros
- Visual black box flows for UI tests make intent easier to review
- Reusable step libraries reduce repeated setup across similar journeys
- Execution reporting highlights failures in a way that speeds triage
Cons
- Stable selectors and flow design require disciplined maintenance
- Coverage beyond UI interactions depends on available integration depth
- Complex multi-step scenarios can feel heavier than lightweight scripts
Best For
Teams running frequent UI regression testing with shared, maintainable test cases
More related reading
Testim
AI-driven test generationTestim generates resilient black-box tests from user interactions and maintains them against UI changes to reduce manual test maintenance for web applications.
AI-assisted self-healing via visual locators that reduce test failures after UI changes
Testim stands out for its AI-assisted test creation that turns user interactions into maintainable black box regression tests. It supports visual locators and action-based scripting so tests can adapt to dynamic UI changes. The platform includes execution orchestration, cross-browser runs, and integrations for CI workflows. It also provides a debugging and reporting loop that helps teams quickly diagnose failures without deep code changes.
Pros
- AI-assisted test generation from real user flows for faster black box coverage
- Visual locator and resilient selectors reduce breakage on UI changes
- Strong CI integration supports automated regression gates
- Failure diagnostics and step-level reporting speed triage and reruns
- Cross-browser execution supports realistic end-user validation
Cons
- Locator tuning is still required for highly dynamic or animated UI
- Complex test logic often shifts toward scripting-heavy maintenance
- AI-generated tests can require review to avoid flaky assertions
- Debug workflows take time to learn for large test suites
- Advanced scenarios may demand framework conventions to stay stable
Best For
QA teams needing visual, low-code black box regression across changing web UIs
Mabl
codeless E2EMabl uses black-box end-to-end tests with AI-assisted self-healing and continuous execution to catch application issues across releases.
Self-healing test runs that automatically update broken selectors during UI changes
Mabl stands out for turning UI change testing into a mostly record-and-manage workflow with self-healing selectors. It supports black box test creation through visual and script-assisted flows, then runs tests across browsers and environments for regression coverage. It also centralizes monitoring with results history and failure analysis so teams can triage flaky UI issues faster. Reporting and test analytics emphasize business-facing user journeys over low-level unit behavior.
Pros
- Self-healing locators reduce breakage after UI changes
- Visual test creation and workflow authoring speed up black box setup
- Cross-browser and environment execution supports consistent regression
- Built-in monitoring highlights failures with actionable test history
- Parallelization helps shorten feedback cycles for UI journeys
Cons
- Complex apps still need maintenance beyond locator healing
- Non-trivial data and auth scenarios can require deeper configuration
- Debugging root cause can be slower during cascading UI failures
- Coverage depends heavily on stable user journey flows
Best For
Product and QA teams automating end-to-end UI regression without heavy scripting
More related reading
Functionize
self-healing black-boxFunctionize creates black-box test scripts from natural user journeys and automatically maps UI elements to maintain stability during changes.
Self-healing test automation that automatically updates selectors after UI changes
Functionize focuses on black box test automation through self-healing test generation from user flows. The core workflow uses UI recording, automatic maintenance of selectors, and reruns that validate app behavior without deep code rewrites. It targets teams that need fast regression coverage for web applications where UI changes happen frequently.
Pros
- Self-healing selectors reduce breakage after UI changes during regressions
- UI-first test creation supports end-to-end flow coverage without heavy scripting
- Action replay and reruns speed iteration on flaky black box scenarios
Cons
- Best results depend on stable UI patterns and consistent user journeys
- Complex assertions and deep negative testing can require more engineering effort
- Debugging failures often needs browser and runner context to pinpoint root causes
Best For
Teams automating web app regressions with minimal maintenance effort
Katalon
all-in-one QAKatalon Studio supports black-box web and mobile testing with recording, keyword-driven automation, and execution built around test cases from external behavior.
Keyword-driven test cases with a visual execution model
Katalon stands out for combining test creation in a visual workflow with automation that supports both record-and-replay style authoring and scripted refinement. It supports black box web and mobile testing with keyword-driven test cases, page-level objects, and execution across common browsers and emulators. Test assets can be organized into suites with data-driven inputs and reusable components for consistent coverage across releases. Reporting and execution controls support practical regression cycles, especially when teams need fast updates without abandoning maintainable automation.
Pros
- Keyword-driven workflows speed up black box test creation for non-developers
- Rich object repository and selectors improve stability for UI automation
- Built-in support for web and mobile testing covers key black box surfaces
- Data-driven testing supports broad input coverage without duplicating tests
- Execution suites and reporting support repeatable regression runs
Cons
- Large projects can require ongoing refactoring to keep selectors maintainable
- Advanced synchronization and dynamic UI handling often needs extra tuning
- Test maintenance effort rises when UI changes frequently across screens
Best For
Teams automating web and mobile UI regressions with minimal code
SmartBear TestComplete
UI black-box automationTestComplete automates black-box UI and functional tests across desktop, web, and mobile by scripting end-user interactions and validating outcomes.
SmartRecorder for creating keyword-driven GUI tests with object-based recognition
SmartBear TestComplete stands out for black box GUI automation built around keyword-style recording with support for multiple scripting languages where automation needs extend beyond record-and-playback. The tool targets functional, regression, and end-to-end testing of desktop, web, and mobile apps using object recognition that can adapt to changing UI elements. TestComplete also provides test data support and integrated test execution with reporting that helps teams validate behavior from the user interface outward.
Pros
- Strong GUI object recognition for resilient black box automation across UI changes
- Keyword-driven testing speeds up creation of regression suites without heavy scripting
- Built-in cross-platform coverage for desktop, web, and mobile UI testing
- Comprehensive test reporting supports traceable verification of UI outcomes
- Flexible scripting integration helps extend recorded flows for edge cases
Cons
- Maintaining durable locators still requires expertise for complex, dynamic interfaces
- Large projects can feel heavy without disciplined test architecture
- Integrations beyond core automation can require additional configuration work
Best For
Teams automating end-to-end UI regression with a mix of recorded steps and scripting
More related reading
Ranorex
desktop automationRanorex automates black-box desktop and web testing with a record-and-replay approach and robust UI recognition to verify user-visible behavior.
Ranorex Object Repository with resilient UI element recognition for stable automation
Ranorex stands out for black box test automation built around recorder-driven test creation and powerful UI recognition for web, Windows, and mobile apps. It supports keyword-like test structuring with reusable libraries, plus centralized project management for maintaining large suites. The platform emphasizes resilient execution via element recognition strategies and stable object repositories instead of brittle fixed locators.
Pros
- Recorder-based authoring reduces time to build first black box tests
- Strong UI element recognition improves stability across UI changes
- Reusable test components and object repositories support large suites
- Detailed execution logs speed root-cause analysis
Cons
- Learning correct recognition strategies takes time on complex UIs
- Scalable maintenance can still be work when UI differs across flows
- Black box setups require disciplined test data and environment control
Best For
Teams automating UI-driven black box regression across Windows and web
TestRail
test managementTestRail tracks black-box test plans and results with run management, milestones, and evidence attachments for functional testing workflows.
Test plans and test runs with results tracking across milestones and versions
TestRail stands out for structured test case management that keeps black box testing plans traceable from requirements to execution. It supports test runs, results tracking, milestones, and project hierarchies that help teams run repeatable regression cycles. The platform also connects test management with issue tracking through integrations, which supports closing the loop when defects are found during black box validation.
Pros
- Strong traceability from sections, cases, and runs to requirements and results.
- Flexible plans and suites support scripted regression workflows for black box validation.
- Test run reporting highlights pass rate, failures, and trends across iterations.
- Integrations with popular issue trackers speed defect linkage from failed cases.
Cons
- Bulk updates and large imports require careful data structuring and conventions.
- Automation is limited for running tests, so execution relies on external test tools.
- Reporting customization can feel rigid compared with dedicated analytics tools.
Best For
QA teams managing black box test cases with traceable execution and reporting
More related reading
PractiTest
test managementPractiTest centralizes black-box test execution, defect linking, and traceability from requirements through releases.
Requirement-to-test traceability for end-to-end coverage reporting
PractiTest stands out for connecting test design, execution, and reporting through a structured test management workflow. Black box testing teams can manage requirements, define test cases, execute scripted or checklist-style checks, and track outcomes in one place. It also supports traceability from requirements to tests and provides dashboards for defect and test progress visibility across cycles.
Pros
- Requirement-to-test traceability links black box coverage to measurable outcomes.
- Dashboards summarize test execution status and defects without exporting data.
- Workflow support helps teams standardize test cases and reporting across releases.
- Centralized management reduces spreadsheet drift during black box cycles.
Cons
- Modeling complex test scenarios can require upfront setup discipline.
- Navigation across large test suites can feel slow without strong organization.
- Advanced reporting often depends on administrators configuring templates.
Best For
Teams needing requirement-linked black box test management and reporting
TestLink
open-source test managementTestLink is a self-hosted test management system that organizes black-box test cases and collects execution results for manual and automated testing teams.
Requirements traceability linking requirements to test cases and execution results
TestLink stands out for its test management focus built around structured test cases, plans, and execution reporting. The tool supports creating suites and linking test cases to test plans, with execution status tracking across runs. For black box testing, it enables traceability from requirements to test cases and captures results per build or release. Reporting and dashboards help teams analyze pass and fail trends and identify gaps in coverage.
Pros
- Strong test plan and suite organization for end-to-end black box execution
- Requirements-to-test-case traceability supports coverage audits and gap analysis
- Execution results per test run enable clear pass and fail reporting
Cons
- UI navigation and setup require admin familiarity with projects and permissions
- Reporting is useful but not as flexible as dedicated analytics platforms
- Traceability modeling can feel rigid for highly dynamic black box workflows
Best For
Teams managing black box test cases and releases with traceability and reporting
How to Choose the Right Black Box Testing Software
This buyer's guide explains what to look for in black box testing software using tools like BugBug, Testim, Mabl, and Katalon as concrete examples. It maps feature choices to real team needs like UI regression, self-healing against UI changes, and requirement-to-test traceability using PractiTest and TestLink.
What Is Black Box Testing Software?
Black box testing software validates application behavior from the outside by executing user-facing flows and checking visible outcomes without requiring deep changes to internal code. It helps teams detect UI regressions and functional failures by recording and replaying interactions or generating tests from user journeys. Tools like BugBug and Testim focus on web UI flows with maintainability features like visual workflow recording and resilient locators. Tools like TestRail, PractiTest, and TestLink focus on tracking black box test plans and results so functional verification stays traceable across releases.
Key Features to Look For
Black box tools succeed when they reduce brittle maintenance while preserving actionable execution and traceability for real regression cycles.
Visual workflow recording and replay for UI regression
BugBug provides visual workflow recording and execution for black box UI regression flows, which makes test intent easier to review during triage. Mabl also emphasizes visual test creation and workflow authoring for end-to-end UI regression without heavy scripting.
AI-assisted or self-healing selectors for UI change resilience
Testim delivers AI-assisted self-healing via visual locators that reduce test failures after UI changes. Mabl and Functionize also provide self-healing behavior where broken selectors get updated during test runs.
Resilient UI element recognition and object repositories
Ranorex uses an Object Repository with resilient UI element recognition strategies to keep executions stable across UI changes. SmartBear TestComplete focuses on GUI object recognition that can adapt to changing UI elements and supports resilient black box GUI automation.
Keyword-driven test authoring and execution models
Katalon Studio uses keyword-driven test cases with a visual execution model, which speeds black box creation without relying on deep coding. SmartBear TestComplete also uses keyword-style recording and SmartRecorder for creating keyword-driven GUI tests.
Actionable execution reporting for faster triage
BugBug execution reporting highlights failures in ways that speed triage during UI regression checks. Ranorex provides detailed execution logs that help root-cause analysis when black box setups involve many steps.
Test management traceability from requirements to execution
PractiTest centralizes requirement-to-test traceability and dashboards that summarize test execution status and defects. TestRail and TestLink provide run management, results tracking, and evidence attachments with requirements-to-test-case traceability for coverage audits.
How to Choose the Right Black Box Testing Software
The best fit depends on whether the primary job is running resilient UI journeys, minimizing maintenance from UI changes, or managing traceable functional verification across releases.
Start with the black box surface to validate
Choose BugBug, Testim, or Mabl when the core need is end-to-end web UI regression that runs typical user journeys and detects UI regressions and functional failures. Choose Ranorex or SmartBear TestComplete when the core need includes desktop or broader UI automation where object recognition and stable UI element matching matter.
Select the maintenance approach that matches UI change frequency
Pick Testim, Mabl, or Functionize when frequent UI changes break brittle locators and the goal is self-healing to update broken selectors during execution. Pick Ranorex or SmartBear TestComplete when resilient recognition strategies and object repositories help keep runs stable across UI variation.
Match authoring style to the team that will build the tests
Choose Katalon Studio or SmartBear TestComplete when keyword-driven workflows and visual execution models reduce the friction of authoring black box tests. Choose BugBug when visual workflow recording and reusable step libraries are needed to keep shared journeys maintainable across teams.
Decide how much test management is required inside the tool
Choose PractiTest, TestRail, or TestLink when black box testing must stay traceable from requirements to tests and execution outcomes across milestones. Choose BugBug, Testim, Mabl, Functionize, Katalon, SmartBear TestComplete, or Ranorex when the primary need is execution automation for UI journeys and supplemental traceability can live elsewhere.
Plan for complex scenarios and environment constraints
Use TestComplete, Ranorex, or Katalon when complex apps need a mix of recorded steps and scripting, plus object recognition strategies that tolerate UI differences across flows. Use Testim or Mabl for cross-browser and environment execution, and expect teams to tune visual locators for highly dynamic or animated UI where maintenance still requires discipline.
Who Needs Black Box Testing Software?
Black box testing software benefits teams that validate behavior through user-facing flows and need stable executions, faster triage, and traceability across releases.
Teams running frequent UI regression testing with shared, maintainable web journeys
BugBug fits teams that need visual workflow recording and reusable step libraries to keep common journeys consistent across releases. BugBug also focuses on execution reporting that highlights failures to speed triage during UI regressions.
QA teams targeting changing web UIs with low-code black box regression
Testim is built around AI-assisted self-healing using visual locators to reduce breakage after UI changes. Testim also supports cross-browser runs and CI integration to make regression gates reliable for user interactions.
Product and QA teams automating end-to-end UI regression with self-healing execution
Mabl provides self-healing test runs that automatically update broken selectors during UI changes. Mabl also emphasizes built-in monitoring with results history and parallelization to shorten feedback cycles for UI journeys.
Teams that need requirement-linked traceability for black box verification reporting
PractiTest provides requirement-to-test traceability and dashboards that summarize test execution status and defects without spreadsheet drift. TestLink and TestRail provide structured plans, suites, and run reporting with results per build or release, plus integrations with issue tracking for closing the loop from failed cases.
Common Mistakes to Avoid
Black box programs fail when tool capabilities and team workflows are mismatched, or when maintenance discipline is ignored.
Over-optimizing for record-and-replay without planning selector maintenance
Complex multi-step scenarios can require disciplined selector and flow maintenance in BugBug, and locator tuning can still be required for highly dynamic UI in Testim. Mabl, Functionize, and TestComplete reduce breakage with self-healing or resilient recognition, but they still require consistent user journey flows for stable coverage.
Assuming self-healing eliminates all flakiness and complex scenario work
Mabl notes that complex apps can still need maintenance beyond locator healing, which shows why deep negative testing may require extra engineering effort in Functionize. Testim also shifts complex logic toward scripting-heavy maintenance for advanced scenarios.
Separating execution automation from traceable functional validation
TestRail, PractiTest, and TestLink center traceability and results tracking, while automation tools like BugBug, Testim, Mabl, Katalon, and Ranorex focus on execution. Treating automation as a complete process leads to weak requirement-to-test coverage reporting when releases need audit-ready evidence.
Building test suites without a reusable structure for maintainability
Katalon and TestComplete can require ongoing refactoring in large projects to keep selectors maintainable. Ranorex relies on stable object repositories, so inconsistent object repository practices can slow scalable maintenance.
How We Selected and Ranked These Tools
we evaluated every tool on three sub-dimensions that map directly to buyer priorities: features with weight 0.4, ease of use with weight 0.3, and value with weight 0.3. The overall rating is calculated as the weighted average of those three values using overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. BugBug separated itself from lower-ranked tools on the features dimension by pairing visual workflow recording with reusable step libraries for black box UI regression execution, which increases maintainability and reviewability for shared journeys.
Frequently Asked Questions About Black Box Testing Software
Which black box testing tools are best for UI regression testing with minimal maintenance?
Mabl and Functionize both focus on self-healing selectors, which reduces breakage after UI changes in end-to-end UI regression runs. BugBug also emphasizes maintainable, workflow-driven UI tests with reusable steps that cut repetitive authoring for frequent regression cycles.
How do Testim and Ranorex differ in handling locator fragility for black box automation?
Testim uses visual locators and AI-assisted test creation to generate black box regression tests that adapt when UI elements shift. Ranorex relies on UI recognition strategies and an Object Repository to keep element matching stable across Windows and web changes.
Which tools provide strong traceability between requirements and executed black box tests?
PractiTest and TestLink both support requirement-to-test traceability so teams can connect black box test cases to requirements and track outcomes. TestRail also provides traceable plans and test runs with results tracking that ties execution back to milestones and versions.
What black box tools are built for teams that want to execute cross-browser regression runs from recorded flows?
Testim and Mabl both run black box UI regressions across browsers with execution orchestration that supports CI-driven repeatability. Katalon adds cross-browser and emulator execution for web and mobile UI regression using keyword-driven test structures.
Which platform is most suitable when black box tests need to integrate with CI and issue workflows?
Testim includes orchestration and integration hooks for CI workflows and provides a debugging and reporting loop for faster failure diagnosis. TestRail connects test management with issue tracking integrations so defect findings from black box validation can be closed back into tracked work.
Which black box testing software supports mixed record-and-scripting approaches for desktop, web, and mobile?
SmartBear TestComplete supports keyword-style recording and allows scripted refinement with multiple scripting languages to extend beyond pure record-and-replay. Katalon combines visual workflow authoring with keyword-driven test cases and supports web and mobile execution across common browsers and emulators.
Which tools are best when the primary testing goal is validating business-facing user journeys?
Mabl emphasizes reporting and test analytics that prioritize user journeys over low-level unit behavior during black box end-to-end UI regression. BugBug also centers on business-facing UI flows by converting black box testing needs into visual workflows and shared regression results.
How do Katalon and Ranorex help reduce brittle automation during UI change heavy development?
Katalon uses keyword-driven test cases plus page-level objects and reusable components to keep automation aligned with UI structure changes. Ranorex focuses on resilient element recognition with a centralized Object Repository to avoid fixed, brittle locators.
What setup and maintenance model fits teams that want to manage larger black box suites centrally?
Ranorex provides centralized project management for maintaining large suites and reusable libraries across recorder-driven test creation. TestRail and PractiTest handle broader suite organization from a test management perspective with runs, milestones, dashboards, and traceability from requirements.
Conclusion
After evaluating 10 cybersecurity information security, BugBug stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Referenced in the comparison table and product reviews above.
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