For production websites: No. Absolutely not. Using Fapwall 0.9 on a live server is akin to leaving your front door unlocked in a high-crime neighborhood. The lack of HTTPS native support, modern CSRF protections, and automated update paths makes it a dangerous choice.
For historical learning: Yes. Fapwall 0.9 is a textbook example of early 2010s PHP development practices. Studying its code reveals how developers built functional, community-driven adult portals before frameworks like Laravel and Ruby on Rails dominated the space. It also serves as a cautionary tale about technical debt and security neglect. fapwall 0.9
For personal, offline usage: Maybe. If you want to organize a private collection of images and videos on a local machine without touching the internet, Fapwall 0.9’s lightweight search and gallery features still work as intended. For production websites: No
fapwall/
│
├─ fapwall/ # Python package
│ ├─ __init__.py
│ ├─ core.py # main engine
│ ├─ rules.py # keyword / regex rules
│ ├─ classifier.py # optional ML text classifier
│ ├─ image_hash.py # optional perceptual hash checker
│ └─ config.yaml # default configuration
│
├─ examples/
│ └─ simple_proxy.py # tiny HTTP proxy demo using the engine
│
├─ tests/
│ └─ test_core.py
│
├─ requirements.txt
└─ README.md
# tests/test_core.py
from fapwall.core import FapWall
import yaml
def load_cfg():
return yaml.safe_load(open("fapwall/config.yaml"))
def test_keyword_block():
cfg = load_cfg()
cfg["action"] = "block"
fw = FapWall(cfg)
result = fw.inspect(url="https://www.pornhub.com/video/123")
assert result["blocked"] and "keyword" in result["reasons"]
Run with:
pytest -q
Fapwall 0.9 is a practical model for layered, policy-driven content moderation that balances safety, user experience, and operational realities. Its success depends on careful tuning, ongoing maintenance, transparent workflows, and thoughtful privacy protections. # tests/test_core
# fapwall/core.py
import re
import logging
from typing import List, Dict, Any
from .rules import KeywordRuleSet
from .classifier import TextClassifier
from .image_hash import ImageHashChecker
log = logging.getLogger("fapwall")
log.setLevel(logging.INFO)
class FapWall:
"""
Main filter object. Initialise once and reuse across requests.
"""
def __init__(self, config: Dict[str, Any] = None):
# Load default config if none supplied
if config is None:
from . import config as default_cfg
config = default_cfg.load()
self.cfg = config
self.keyword_rules = KeywordRuleSet(config.get("keywords", {}))
self.classifier = None
self.img_checker = None
if config.get("ml_classifier", {}).get("enabled"):
self.classifier = TextClassifier(**config["ml_classifier"])
if config.get("image_hash", {}).get("enabled"):
self.img_checker = ImageHashChecker(**config["image_hash"])
# ------------------------------------------------------------------
# Public API
# ------------------------------------------------------------------
def inspect(self, url: str, title: str = "", body: str = "", images: List[bytes] = None) -> Dict:
"""
Return a dict describing the decision:
"blocked": bool,
"reasons": ["keyword:xxx", "ml:adult", "image:hash-match"],
"score": 0.0‑1.0 # only if ML classifier is used
"""
reasons = []
# 1️⃣ Keyword / regex checks (fast)
if self.keyword_rules.matches(url, title, body):
reasons.append("keyword")
# 2️⃣ Machine‑learning text classifier (optional)
if self.classifier:
ml_score = self.classifier.predict(body or title)
if ml_score >= self.cfg["ml_classifier"]["threshold"]:
reasons.append("ml")
else:
ml_score = None
# 3️⃣ Image hash checking (optional)
if images and self.img_checker:
for img in images:
if self.img_checker.is_match(img):
reasons.append("image")
break
blocked = bool(reasons) and self.cfg["action"] == "block"
return
"blocked": blocked,
"reasons": reasons,
"score": ml_score,
Ironically, some employees install Fapwall 0.9 on their own machines to block themselves from accessing distracting sites. Think of it as digital chastity software.