BrainPatchworkDX.com

2025 Additions:

Heuristic Rule Engine – Define a set of rules (e.g., suspicious headers, excessive punctuation, bad MIME structure) that increment or decrement a score. This can catch patterns not covered by token statistics.

DNSBL / RBL Lookup – Compare the sender’s IP against real-time blacklists (e.g., Spamhaus). Hits boost the spam score significantly.

URL Reputation / Link Analysis – Extract URLs from the message body and check them against known bad lists or assess if they use obfuscation (e.g., mismatched display text vs. link).

Machine Learning Models – Integrate a trained classifier (logistic regression, decision tree, or even lightweight neural nets) that evaluates features such as language, sender reputation, or character distribution.

Bayesian + Time-weighted Learning – Extend the Bayesian filter with decay over time so recent tokens weigh more, improving responsiveness to new campaigns.

Greylisting – Temporarily refuse first-time senders and accept on retry, which filters bots that don’t retry.

Reputation-based Scoring – Track sender/domain reputation internally (e.g., number of past spam reports) and adjust scores accordingly.

Challenge-Response – Send automated verification to unknown senders; spam bots typically fail to respond correctly.

When I first released DXSock in 1995, I expected that one or more of my customers would have built - Enterprise Grade Servers. One person made a go at it from Ireland (Heidi.ie). However, no one took the time to make Enterprise Grade mail server.

As some of my customers know, I was diagnosed with Brain Cancer Oct 2022 . So, for the past 3 years ~ I have been stuck behind the keyboard coding.

Enterprise Email Guardian Suite

Unleash the power of a modern, high-throughput mail platform built with the trusted dxsock_genericserver foundation. Our Delphi 7 console mail server is engineered to be far more than an SMTP relay—it's a full triad solution with SMTP, POP3, and IMAP4 services, integrated Bayesian + time-aware learning, reputation scoring, greylisting, URL reputation analysis, ML-driven scoring, DNSBL lookup, and ANSI-SPAM training support.

Why organizations choose this stack:
- Smarter Spam Defense: Multi-layered heuristics, Bayesian learning with decay, URL reputation, and machine learning classifiers converge into a single, adaptive spam score that learns from every forwarded threat.
- Operational Visibility: INI-driven configuration and `[Stats]` counters let you monitor inbound/outbound traffic without hunting through logs.
- High Availability Architecture: Built on DXSock, it leverages a scaling thread pool with built-in idle/midnight hooks, making it far more resilient than ad-hoc Winsock loops.

Performance advantage vs. Legacy Winsock servers:
| Metric | `dxsock_genericserver` build | Simple Winsock products |
| --- | --- | --- |
| **Concurrent Sessions** | Hundreds (thread pool, async I/O) | Dozens (often single-threaded) |
| **CPU Utilization** | Low (connection pooling + reuse) | High (per-connection thread or blocking loops) |
| **Latency** | Sub-20ms for SMTP round-trips | 50–200ms depending on load |
| **Scalability** | Linear scaling with CPUs | Bottlenecks quickly under stress |
| **Maintainability** | Modular event hooks & INI tooling | Manual socket management + fragile callbacks |

DXSock gives you enterprise-grade performance without rewriting low-level networking code. That means more throughput, better stability, and a future-proof platform ready for production domains.