ScienceToStartup
TrendsTopicsSavedArticlesChangelogCareersAbout

113 Cherry St #92768

Seattle, WA 98104-2205

Backed by Research Labs
All systems operational

Product

  • Dashboard
  • Workspace
  • Build Loop
  • Research Map
  • Trends
  • Topics
  • Articles

Enterprise

  • TTO Dashboard
  • Scout Reports
  • RFP Marketplace
  • API

Resources

  • All Resources
  • Benchmark
  • Database
  • Dataset
  • Calculator
  • Glossary
  • State Reports
  • Industry Index
  • Directory
  • Templates
  • Alternatives
  • Changelog
  • FAQ
  • Docs

Company

  • About
  • Careers
  • For Media
  • Privacy Policy
  • Legal
  • Contact

Community

  • Open Source
  • Community
ScienceToStartup

Copyright © 2026 ScienceToStartup. All rights reserved.

Privacy Policy|Legal
  1. Home
  2. Signal Canvas
  3. Phishing the Phishers with SpecularNet: Hierarchical Graph A
← Back to Paper

Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection

Fresh1d ago
Export BriefOpen in Build LoopConnect with Author
View PDF ↗
Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 8

References: 0

Proof: fail

Distribution: unknown

Source paper: Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection

PDF: https://arxiv.org/pdf/2603.01874v1

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-19T21:31:49.672812+00:00

Starting…

Dimensions overall score 8.0

GitHub Code Pulse

No public code linked for this paper yet.

Key claims

Strong 8Mixed 0Weak 0

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Keep exploring

Builds On This
Robustness, Cost, and Attack-Surface Concentration in Phishing Detection
Score 5.0down
Builds On This
CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection
Score 5.0down
Builds On This
Evaluating Human and Machine Confidence in Phishing Email Detection: A Comparative Study
Score 3.0down
Builds On This
Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection
Score 7.0down
Builds On This
TLS Certificate and Domain Feature Analysis of Phishing Domains in the Danish .dk Namespace
Score 4.0down
Builds On This
NetDiffuser: Deceiving DNN-Based Network Attack Detection Systems with Diffusion-Generated Adversarial Traffic
Score 7.0down
Builds On This
The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable Vulnerabilities
Score 6.0down
Competing Approach
Spider-Sense: Intrinsic Risk Sensing for Efficient Agent Defense with Hierarchical Adaptive Screening
Score 7.0down

Startup potential card

Startup potential card preview
Share on XLinkedIn

Related Resources

  • Why is AI security important?(question)
  • What is the focus of AI security research?(question)
  • How do AI security measures protect systems?(question)
  • AI Security – Use Cases(use_case)

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Recommended Stack

FastAPIBackend
PyTorchML Framework
TensorFlowML Framework
JAXML Framework
KerasML Framework

Startup Essentials

Render

Deploy Backend

Railway

Full-Stack Deploy

Supabase

Backend & Auth

Vercel

Deploy Frontend

Firebase

Google Backend

Hugging Face Hub

ML Model Hub

Banana.dev

GPU Inference

Antigravity

AI Agent IDE

MVP Investment

$10K - $13K
6-10 weeks
Engineering
$8,000
Cloud Hosting
$240
SaaS Stack
$800
Domain & Legal
$500

6mo ROI

2-4x

3yr ROI

10-20x

Lightweight AI tools can reach profitability quickly. At $500/mo average contract, 20 customers = $10K MRR by 6mo, 200+ by 3yr.

Talent Scout

T

Tailai Song

Politecnico di Torino

P

Pedro Casas

AIT Austrian Institute of Technology

M

Michela Meo

Politecnico di Torino

Find Similar Experts

AI experts on LinkedIn & GitHub