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⚡ tsecurity.de Intelligence

Building EncroGram: A Messenger Where Servers Can't Read Your Messages

The Problem That Kept Me Up at Night As developers, we build "secure" messaging apps with excellent end-to-end encryption. But there's a fundamental issue: we still store encrypted messages on servers. Sure, the encryption is solid. But…

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The Problem That Kept Me Up at Night



As developers, we build "secure" messaging apps with excellent end-to-end encryption. But there's a fundamental issue: we still store encrypted messages on servers.



Sure, the encryption is solid. But stored data creates attack vectors:




  • Server compromises expose encrypted databases

  • Governments can demand stored content

  • Companies change privacy policies

  • Long-term cryptographic attacks become possible



I wondered: What if servers literally couldn't store messages?






Introducing EncroGram



I built EncroGram with a different architecture: stateless relay servers.



Instead of the typical encrypt → store → forward model:



Client A → [EncroGram Relay] → Client B

(immediate deletion)



The relay server:




  1. Receives encrypted envelope

  2. Forwards to recipient immediately

  3. Deletes from memory

  4. Stores nothing, logs nothing






Technical Architecture



Backend: Rust-based relay servers


Frontend: C# MAUI cross-platform app


Crypto: Custom implementation with Perfect Forward Secrecy






Key Features





  • Zero Server Storage: Messages deleted immediately after relay


  • Perfect Forward Secrecy: Keys rotate automatically


  • Sealed Sender: Servers only see recipient hash, never identity


  • Emergency Wipe: Code "0000" destroys all device data instantly


  • Anonymous: No phone numbers, emails, or personal data required






The Security Model



What This Solves:

✅ Eliminates server-side data retention completely


✅ Makes mass surveillance economically unviable


✅ Provides technical guarantees vs policy promises



What This Doesn't Solve:

❌ Endpoint security (device compromise still possible)


❌ Network analysis (traffic correlation attacks)


❌ Requires trust that relay operators are honest






Real-World Impact



When authorities request user data from EncroGram, the honest answer is:




"We have no data. Our servers don't store messages."




Not a policy decision - a technical reality.






The Trade-offs



Compared to Signal/WhatsApp:




  • ❌ No cloud backup/message recovery

  • ❌ Requires real-time delivery

  • ❌ Less convenient for casual users

  • ✅ Zero server-side attack surface

  • ✅ Technical impossibility of data retention

  • ✅ Perfect for high-risk scenarios






Development Challenges





  1. Reliability: Stateless servers mean no retry mechanisms


  2. User Education: People expect cloud backups


  3. Key Management: Perfect Forward Secrecy adds complexity


  4. Performance: Real-time relay requirements






Current Status




  • iOS app submitted to App Store

  • Self-hostable relay server implementation

  • Subscription model ($19.99/quarter) to fund infrastructure

  • Planning open source release after security audit






The Philosophy



Sometimes the best way to protect user privacy is to make surveillance technically impossible, not just against policy.






Why This Matters



Current "secure" messengers rely on policy promises:




  • "We won't read your messages"

  • "We delete messages after X days"

  • "We resist government requests"



EncroGram provides technical guarantees:




  • "We cannot read your messages"

  • "Messages are deleted immediately"

  • "We have no data to provide"






Target Users



EncroGram isn't for everyone. It's designed for:




  • Journalists protecting sources

  • Activists in authoritarian regimes

  • Business executives with trade secrets

  • Anyone who needs technical privacy guarantees






Questions for the Community




  1. Do you see value in technical vs policy privacy guarantees?

  2. What attack vectors should I consider with this architecture?

  3. Would you trade convenience for stronger privacy assurances?



Not trying to replace Signal for casual users - just exploring whether technical architecture can provide stronger privacy foundations.






What do you think? Is the convenience trade-off worth technical privacy guarantees?

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
1 Warnungen
title: Detect Exploitation - Building EncroGram: A Messenger Where Servers Can't Read Your Messages
id: 48238575-8ca2-4a64-9546-d1c32c5bc610
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-27
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 = "2026-09-27"
        description = "YARA Signature for "
    strings:
        $str = "Building EncroGram: A Messenge" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Building EncroGram A Messenger Where Ser")
| 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: "*Building EncroGram A Messenger Where Ser*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Building EncroGram A Messenger Where Ser"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
🎯
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
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Analyse für identifizierte Bedrohung auf Basis von Live-CTI (ENISA EUVD): CVSS 0.0 · EPSS 0.0% · CISA KEV: nein. Handlungsableitung aus den verlinkten Hersteller-Quellen.

🛡️ 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.
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