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Welcome to our reading of The Adventures of Sherlock Holmes by Arthur Conan Doyle.

Today, we begin with Adventure I: “A Scandal in Bohemia,” the first story in this classic collection featuring the brilliant detective Sherlock Holmes and his loyal friend, Dr. John Watson. If you enjoy timeless mysteries and detective fiction, please like this video, subscribe to the channel, and turn on notifications so you never miss the next adventure.

Source: The Adventures of Sherlock Holmes by Arthur Conan Doyle. Text from Project Gutenberg (Public Domain).

Now, sit back, relax, and let’s begin “A Scandal in Bohemia.”

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We made it to the front page of Twitch with our Spider-Pants nonsense! This week Spidey fights Tombstone, Martin Li, AND MJ, …

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Welcome back to The Adventures of Sherlock Holmes by Arthur Conan Doyle.

Today, we begin Chapter II: “The Red-Headed League” — Part 1, a strange and intriguing mystery that puts Sherlock Holmes’s legendary powers of deduction to the test.

If you enjoy the story, please like the video and subscribe to the channel for Part 2 and more classic literature.

Now, sit back, relax, and enjoy The Red-Headed League — Part 1.

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Hoxhunt’s Maxime Cartier and Eliot Baker reveal how AI reshapes phishing in 2025 — from AI-written lures and deepfake scams to SVG-based attachments and defensive automation. Drawing on Verizon DBIR, IBM, and Hoxhunt data, they show why frequent, recent training still works and how AI now fuels and fights phishing at scale.

This session connects attack evolution, human behavior, and AI-assisted defense, giving a data-driven look at where phishing actually stands in 2025.

Chapters:

0:00 Intro & housekeeping
0:22 Welcome and agenda overview
1:47 AI and the threat landscape
2:11 Key stats: Verizon DBIR, IBM, Comcast Business
3:07 Training works — evidence from Verizon DBIR
4:09 Cost of breaches declines with AI-assisted defense
5:09 Hoxhunt data collaboration with Verizon
6:12 Why training recency (30 days) matters
7:01 Studies claiming training doesn’t work — and why they’re wrong
7:44 AI’s impact on phishing volume and quality
9:12 Rise of AI-written phishing campaigns (Viper Security)
10:35 What actually reaches the inbox vs. blocked by filters
12:00 Understanding major risks: traditional vs. AI-enabled attacks
12:33 How attackers use ChatGPT to write phishing emails
14:02 AI agents surpass human red teams — Hoxhunt research
14:44 Why AI supercharges spear-phishing (OSINT automation)
15:55 Real-world OSINT example & risks
17:14 Using AI defensively: Hoxhunt spear-phishing agent
18:04 Deepfakes 101 — growing threat in phishing
19:30 Real deepfake scams & executive impersonation
21:16 Major deepfake incidents: YouTube, Arup, Wiz
23:45 Deepfake demo and detection discussion
26:05 How to spot and verify deepfakes
29:01 Main attack vectors — phishing still dominates
30:21 2025 phishing trends overview
31:01 Attachment trends: PDF, SVG, HTML
34:28 SVG phishing explained — code inside images
38:18 Microsoft vs. Google environments
40:20 Which industries are most targeted (finance, retail, healthcare)
43:37 Why attackers behave like marketers
44:24 Hoxhunt AI agents — spear-phishing agent & reasoning engine
46:05 Positive outcomes — reporting behavior and engagement
47:13 Closing remarks and key takeaways
47:47 Post-webinar phishing simulation example

📊 Key Takeaways

Training works when it’s recent: Users trained in the last 30 days report 4× more phishing (Verizon DBIR).

AI increases both volume and precision: From generic lures to targeted spear-phishing at scale.

SVG attachments surged in 2025: SVGs can embed code and redirect to credential harvesters.

Deepfakes are rising fast, but traditional email phishing (BEC, credential harvesters) remains dominant.

AI helps defense too: Breach costs declined 9% YoY where AI-assisted response is deployed.

💡 FAQ / Quick Answers

Q: Are deepfakes the biggest threat now?
A: No. Deepfakes are rising and dangerous, but phishing emails remain the largest attack vector.

Q: What is an SVG phishing attachment?
A: An SVG is an image format that can contain scripts or redirects. Attackers use them to bypass filters.

Q: Does security training still work?
A: Yes. The Verizon DBIR found users trained within 30 days are far more likely to report phishing.

Q: Why does inbox-level data matter?
A: Because filter-blocked attacks don’t reach people — training should focus on what bypasses defenses.

🔗 Sources & Resources

Hoxhunt 2025 Phishing Trends report → https://hoxhunt.com/guide/phishing-trends-report

Verizon DBIR → https://www.verizon.com/business/resources/reports/dbir/

IBM Cost of a Data Breach Report → https://www.ibm.com/security/data-breach

Hoxhunt Blog → https://hoxhunt.com/resource-hub

All Things Human Risk Management Podcast: https://hoxhunt.com/podcast

🧠 Credits

Speakers: Eliot Baker (Director of Content Marketing) & Maxime Cartier (Head of Human Risk, Hoxhunt)
Produced by Hoxhunt, the leader in behavior-based cybersecurity training and AI-driven human risk management.

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