Evmbench vs Push Security

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionEvmbenchPush Security
PricingFree and open-sourceFreemium (paid tiers not specified)
Primary FocusOpen benchmark for AI agents detecting/exploiting/patching smart contract vulnerabilitiesBrowser security platform against AiTM, session hijacking, and AI tool data leaks
Target UsersAI safety researchers, blockchain security auditors, crypto engineering teamsSecurity teams, identity teams, security operations
Key DifferentiatorStandardized evaluation of AI models on high-severity smart contract vulnerabilitiesFull browser telemetry + autonomous threat hunting across all major browsers
IntegrationsNone listedOkta, Azure AD, Google Workspace, Slack, Splunk, Snowflake
DeploymentOpen-source, web-based interfaceCloud-based (not on-premises)

These tools serve completely different purposes and should not be considered alternatives. Push Security is a commercially focused browser security platform for enterprise teams dealing with phishing, session hijacking, and AI tool governance across major browsers. Evmbench is an open-source research benchmark specifically for evaluating AI agents on Ethereum smart contract vulnerabilities. Your choice depends entirely on whether you need browser-based threat detection or AI model evaluation in blockchain security.

Evmbench
Evmbench

Open benchmark for AI agents on high-severity smart contract vulnerabilities

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Push Security
Push Security

Browser-native security that stops AI-driven attacks and secures employee AI usage

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Pricing
Free
Freemium
Plans
$5/user/month
Custom
Popularity
1 views
7.5k views
Skill Level
Advanced
Advanced
API Available
Platforms
Web
Web
Categories
🔐 Application & Code Security🧪 Software Testing & QA
🚨 Threat Detection & SOC🔒 Security & Privacy
Features
Benchmark for AI agents on smart contract vulnerabilities
Detects high-severity vulnerabilities
Evaluates exploitation and patching capabilities (full benchmark)
Upload folder or ZIP of contract source code
Standardized evaluation across AI models
Reports only high-severity findings in web interface
Web-based interface for analysis runs
Open-source and freely available
Backed by OpenAI and Paradigm
Reproducible model comparisons
Behavioral phishing detection
Adversary-in-the-Middle (AiTM) phishing detection and blocking
ClickFix / clipboard injection blocking
Device code phishing detection and blocking
Malicious OAuth consent blocking
Session hijacking detection
Credential stuffing detection
Ghost login detection and SSO guardrails
MFA enforcement via in-browser guardrails
Shadow AI app discovery and inventory
AI prompt and data input monitoring
AI file upload monitoring and blocking
Agentic browser detection (Comet, Atlas, Dia)
Autonomous threat hunting agents
Browser extension inventory, risk scoring, and blocking
Integrations
Okta
Google Workspace
Microsoft 365
Microsoft Teams
Microsoft Sentinel
Datadog
Splunk Cloud
SentinelOne
Slack
Webhooks
REST API

What real users say: Evmbench vs Push Security

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Evmbench

39 mentions across 4 sources · 53% positive — mixed

Hacker News, YouTube, Bluesky, GitHub

What users praise

  • Open-source benchmark by OpenAI and Paradigm with strong credibility.
  • Standardized evaluation framework for comparing AI models on security tasks.
  • Tests detection, patching, and exploitation of high-severity vulnerabilities.
  • Detection-only mode reduces noise by reporting only severe findings.

What frustrates them

  • Data contamination undermines trust in benchmark results.
  • Invalid vulnerability classifications reduce ground truth reliability.
  • Patch and exploit pipelines not yet open-sourced, limiting full evaluation.
  • Only OpenAI models officially supported; Claude users need forks.

Researched Jul 6, 2026

Push Security

30 mentions across 3 sources · 43% positive — mixed

Hacker News, YouTube, Lemmy

What users praise

  • Works as a lightweight extension across all major browsers without forcing a single proprietary browser.
  • Detects advanced threats like AiTM phishing, ClickFix, session hijacking, and malicious OAuth flows.
  • Autonomous hunting agents analyze browser telemetry to write and deploy detection rules at machine speed.
  • Provides comprehensive AI usage governance: inventory, prompt monitoring, file upload blocking, and unsanctioned app control.

What frustrates them

  • No independent community feedback or real-user reviews available to verify claims.
  • Requires advanced security expertise to configure and interpret telemetry effectively.
  • High-fidelity telemetry collection may trigger privacy and compliance red flags.
  • Potential for false positives in blocking legitimate OAuth and extension actions.

Researched Aug 26, 2026

Who should pick which

  • Enterprise security engineer
    Pick: Push Security

    Push Security provides real-time blocking of AiTM phishing, session hijacking, and AI tool data leakage across Chrome, Edge, Firefox, etc., which is essential for enterprise browser security. Evmbench is irrelevant for this role.

  • AI safety researcher evaluating LLMs on code
    Pick: Evmbench

    Evmbench offers a standardized open benchmark to measure AI agents' ability to detect, exploit, and patch high-severity smart contract vulnerabilities, exactly what researchers need. Push Security does not address this.

  • Blockchain security auditor testing AI tools
    Pick: Evmbench

    Evmbench's focus on high-severity contract vulnerabilities and exploitation capabilities aligns with auditors evaluating AI-assisted analysis. Push Security is not designed for blockchain contexts.

  • Security operations center (SOC) analyst
    Pick: Push Security

    Push Security's agentic threat hunting using browser telemetry and integrations with Splunk, Snowflake, etc., fit SOC workflows for detecting browser-based attacks. Evmbench is unrelated.

  • Identity team lead pushing MFA adoption
    Pick: Push Security

    Push Security's in-browser MFA registration and password change guardrails help enforce identity hardening, a key need for identity teams. Evmbench does not cover identity.

Frequently Asked Questions

Evmbench vs Push Security: which should you choose?

These tools serve completely different purposes and should not be considered alternatives. Push Security is a commercially focused browser security platform for enterprise teams dealing with phishing, session hijacking, and AI tool governance across major browsers. Evmbench is an open-source research benchmark specifically for evaluating AI agents on Ethereum smart contract vulnerabilities. Your choice depends entirely on whether you need browser-based threat detection or AI model evaluation in blockchain security.

Can Push Security detect smart contract vulnerabilities?

No, Push Security is focused on browser-based attacks (phishing, session hijacking, OAuth abuse) and AI tool governance, not smart contract analysis.

Is Evmbench useful for protecting employees from browser attacks?

No, Evmbench is a benchmark for evaluating AI agents on smart contract security, not a browser security platform.

Does Push Security work on mobile browsers?

The data mentions mobile phishing detection via SMS/QR codes, but does not specify full mobile browser coverage.

Can Evmbench be used for production security audits?

It is designed as a benchmark for AI evaluation, not as a production vulnerability scanner or bug bounty automation tool.

What integrations does Evmbench support?

No integrations are listed in the provided data.

Does Push Security require deploying an enterprise browser?

No, it works across all major browsers (Chrome, Edge, Firefox, Brave) without requiring a proprietary enterprise browser.

Is Evmbench free to use?

Yes, it is free and open-source.

Does Push Security have an on-premises deployment option?

No, Push Security is cloud-based only.

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Last reviewed: July 6, 2026