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Introduction
Black Hat 2025 is set to unveil groundbreaking cybersecurity research, from AI-powered attacks to advanced evasion techniques. This article extracts key talks, tools, and commands to help security professionals stay ahead of emerging threats.
Learning Objectives
- Understand new offensive and defensive techniques from Black Hat 2025.
- Learn practical commands for threat detection, evasion, and lateral movement.
- Explore AI-driven attacks and how to mitigate them.
1. Evading EDR: Blinding Your Security Tools
Talk: “I’m in Your Logs Now, Deceiving Your Analysts and Blinding Your EDR” (Link)
Key Technique: Disabling Windows Event Logging
wevtutil sl Security /e:false
What it does: Disables Security event logs to avoid detection.
How to use:
1. Run as Administrator.
2. Execute to stop logging critical security events.
3. Re-enable later with:
wevtutil sl Security /e:true
2. Abusing Alert Fatigue to Bypass SOCs
Talk: “Death by Noise: Abusing Alert Fatigue to Bypass the SOC (EDR Edition)” (Link)
Key Technique: Generating False Positives
for i in {1..1000}; do nmap -sV -T4 random.target.com; done
What it does: Floods SIEM/EDR with noise to obscure real attacks.
How to use:
- Run in a loop to trigger excessive alerts.
- Combine with slow scans (
-T2) to evade rate-based detection.- Advanced Lateral Movement in Entra ID (Azure AD)
Talk: “Advanced Active Directory to Entra ID Lateral Movement Techniques” (Link)
- Advanced Lateral Movement in Entra ID (Azure AD)
Key Technique: Golden SAML Attack
Get-AzureADUser -All $true | Where-Object {$_.UserPrincipalName -like "admin"}
What it does: Identifies high-privilege Azure AD accounts for lateral movement.
How to use:
1. Requires AzureAD module (`Install-Module AzureAD`).
2. Exfiltrate SAML tokens for persistence.
4. Weaponizing Apple AI for Offensive Operations
Talk: “Weaponizing Apple AI for Offensive Operations” (Link)
Key Technique: AI-Generated Phishing Lures
from transformers import pipeline
generator = pipeline('text-generation', model='gpt-4')
print(generator("Write a convincing Apple support phishing email"))
What it does: Uses LLMs to craft hyper-personalized phishing lures.
How to use:
1. Install Hugging Face Transformers (`pip install transformers`).
2. Fine-tune for domain-specific social engineering.
5. Detecting Insider Threats with Contrastive Learning
Talk: “FACADE: High-Precision Insider Threat Detection Using Contrastive Learning” (Link)
Key Technique: Anomaly Detection with ML
sudo auditd -l | grep "user-login"
What it does: Monitors unusual login patterns.
How to use:
1. Deploy auditd rules for user behavior logging.
- Feed logs into ML models for anomaly detection.
What Undercode Say
- AI-powered attacks are evolving—defenders must adopt AI-driven detection.
- EDR evasion is becoming mainstream—focus on behavioral analysis, not just logs.
- Lateral movement is shifting to cloud—Azure AD/Entra ID hardening is critical.
Analysis:
The talks highlight a shift toward AI-assisted attacks and cloud exploitation. Defenders must prioritize adaptive detection, reduce alert fatigue, and adopt zero-trust frameworks.
Prediction
By 2026, AI-generated attacks will dominate phishing campaigns, while cloud misconfigurations will remain the top initial access vector. Organizations must invest in AI-augmented SOCs and automated cloud security posture management (CSPM) tools.
Stay ahead—implement these techniques today. 🚀
IT/Security Reporter URL:
Reported By: Mthomasson Only – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
