It’s just Anthropic’s marketing. Claude Mythos is making waves. Initially, the preview was only made available to a very select few Big Tech companies, such as Google and Apple. It seems Anthropic decided it would be too dangerous to rel…

Sichere Programmierung dev.to 25.05.2026, 01:39 Uhr 3 Min. Lesezeit Finanzwesen & Banking

↗ Quelle (dev.to)

Reagiere als Erste:r — dein Feedback zählt!

It’s just Anthropic’s marketing.

Claude Mythos is making waves. Initially, the preview was only made available to a very select few Big Tech companies, such as Google and Apple. It seems Anthropic decided it would be too dangerous to release it to the public all at once. The access was gradually expanded, and recently, news broke in my country, Japan, that a major megabank had been granted access. Politicians are also treating it as a risk, and it feels like discussions about how to use AI safely have been increasing lately.

Even among the general public, especially on X, there are voices expecting that Claude Mythos will change the world or that it might achieve AGI. However, they are missing a crucial perspective: "This includes Anthropic’s marketing."

When AI companies release a model, they often use the tactic of developing it themselves and then declaring, "It's too dangerous," before rolling it out in stages. This was exactly the case with GPT-3.5 and GPT-5. I was particularly worried that GPT-5 would fundamentally upend the way the world works, and I remember staying up until 3:00 AM (Japan time) watching OpenAI’s announcement with heavy eyes.

My reaction after watching it? "What is this? It’s not much different from what we already have." My initial impression was wrong. When I actually tried it, the GPT-5 of that time actually felt less capable overall than GPT-4o.

Before GPT-5 was released to the world, it was already being used internally at OpenAI. It was said that GPT-5 was handling most of the internal operations, and that "once this is released, it’s going to be amazing!"

Certainly, there are impressive models in the GPT-5 series. I currently use version 5.5 for AI agents. It is far more efficient than previous models, but it didn't result in a situation that fundamentally overturned the structure of society. Today, I am still here writing code, writing tests, and submitting pull requests.

Getting back to the topic of Mythos—this time it’s about Claude, or rather, Anthropic. Until now, Anthropic often released features and new models smoothly without resorting to this kind of hype. But this time, it seems they’ve resorted to hype-based marketing. "We found a vulnerability that no human has found in 27 years!" Seriously? Please tell us how significant the impact of this vulnerability actually was.

In Japan, it is said that the systems connecting most financial institutions' networks are still written in COBOL. It would be unnatural if they didn’t have vulnerabilities. (I do welcome it if this actually helps those systems.)

Anthropic is preparing for an IPO. Their valuation changes in an instant based on their hype. There is no reason for us, as general developers or business people, to be swayed by Anthropic’s marketing.

Going slightly off-topic, I’m annoyed by Anthropic’s "entitled" business practices. For example, not allowing users to use their regular subscription plans with third-party tools like OpenCode. Or how they took Bun—a tool developed by a subsidiary—and completely changed the language via something close to pipe-coding without a single review in less than a week.

CTI Threat Relationship Graph3 Knoten / 2 Relationen

CVE / Incident Software MITRE ATT&CK CWE Weakness IoC

IR-PLAYBOOK-VULN-REMEDIATIONMEDIUM

Schritte anzeigen

SOC Incident Playbook: Vulnerability Remediation & Verification

Asset Inventory

Asset-Datenbank nach betroffenen Komponenten, Versionen und exposed Ports abfragen.

nmap -sV --script vuln -p- <target-network>

Exploit MonitoringSofort

SIEM-Regeln und IDS-Signaturen (Snort/Suricata) auf Angriffsversuche schärfen.

tail -f /var/log/suricata/fast.log | grep <cve>

Patch DeploymentSofort

Patch oder offiziellen Workaround gemäß Hersteller-Empfehlung einspielen.

Check Vendor Security Advisory Bulletin

1-Click Detection Engineering: Multi-Dialect SIEM Rules5 Formate

Regeln anzeigen

1 Warnungen

title: Detect Exploitation - Don't fall for the Claude Mythos hype
id: 8332b527-a50a-4d1c-9f64-ece713696771
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access

Syntax validiert (0 Fehler)

rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "Don\'t fall for the Claude Myth" ascii wide
    condition:
        any of them
}

Syntax validiert (0 Fehler)

index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Dont fall for the Claude Mythos hype")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count

Syntax validiert (0 Fehler)

message: "*Dont fall for the Claude Mythos hype*"

Syntax validiert (0 Fehler)

CommonSecurityLog
| where Message has "Dont fall for the Claude Mythos hype"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

🎯

MITRE ATT&CK Matrix Navigator 14 Taktiken

Reconnaissance

Resource Development

Initial Access

Execution

Persistence

Privilege Escalation

Defense Evasion

Credential Access

Discovery

Lateral Movement

Collection

Command and Control

Exfiltration

Impact

💡 Tipp: Klicken Sie auf eine TTP, um Gegenmaßnahmen und SIEM-Erkennungsregeln anzuzeigen.Enterprise Matrix v14.1

🚀 Auf tsecurity.de entdecken

◀ VORHERIGER BEITRAG 18 Min

Vestige: A Gemma 4 Brain Tracker That Won't Blow Smoke Up Your Ass

Sichere Programmierung

NÄCHSTER BEITRAG 1 Min

Cinnamon’s new screenshot tool fixes app window shadow quirks

Linux Tipps & HardeningWeiterlesen ▶

Blättern: Pfeiltasten [ ← ] [ → ] · Tasten j / k · mobil: Wischen

Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Don't fall for the Claude Mythos hype.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen

1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.

🔗 Semantisch verwandte Zero-Days MariaDB 11.7 VEC

Schnell-Prompts für Analysten

⚠️ DEFANGED SANDBOX VIEW (tsecurity.de): Alle Netzwerkindikatoren und URLs wurden neutralisiert (2 Indikatoren entschärft). Nur zur defensiven Analyse!

Format: python

#!/usr/bin/env python3
# Exploit Title: PoC for Target
import socket, sys
target = '192[.]168[.]1[.]10'
url = 'hxxp://target[.]local/vuln'
s = socket.socket()
s.connect((target, 80))
s.send(b'GET / HTTP/1.1\r\nHost: target.local\r\n\r\n')