Adn622+kecanduan+genjotan+anaku+sendiri+miu+shiramine+indo18+verified -
| Concern | Mitigation |
|---------|------------|
| Sensitive data exposure | Store only what you need for matching (e.g., hash or redact personal identifiers before indexing). |
| Performance attacks (very large payloads) | Impose request size limits, rate‑limit the endpoint, and/or process data in streaming mode. |
| False positives | Use word boundaries (\b) in regex, or the match_phrase query in ES to avoid matching substrings inside unrelated words. |
| Logging | Avoid logging raw user‑submitted text unless you have a clear retention policy. |
def find_matches(text, keywords):
"""Return a list of keywords that appear in `text` (case‑insensitive)."""
lowered = text.lower()
return [kw for kw in keywords if kw.lower() in lowered]
# Example usage:
record = "id": 123, "body": "The user adn622 posted a verified video about miu."
hits = find_matches(record["body"], KEYWORDS)
if hits:
print(f"Record record['id'] contains: hits")
Pros: No external dependencies, trivial to prototype.
Cons: O(N × M) where N = number of records, M = number of keywords – becomes slow at scale. Pros: No external dependencies, trivial to prototype
+-------------------+ +-------------------+ +-------------------+
| Input Source | --> | Index/Storage | --> | Search Engine |
| (DB, files, API) | | (Elasticsearch, | | (query builder |
| | | SQLite, …) | | + ranking) |
+-------------------+ +-------------------+ +-------------------+
|
v
+-------------------+
| Result Formatter|
+-------------------+
|
v
+-------------------+
| API / UI Layer |
+-------------------+