Phishing Email Detection DistilBERT
A very light classifier for emails and links showing signs of phishing. It errs in both directions, so borderline emails are still reviewed by a person.
- Developer
- cybersectony, not disclosed
- First release
- Oct 2024
- Latest release
- Oct 2024
- Sizes
- about 66M
- License
- Commercial use allowedApache 2.0
- Russian
- Not supported
- Running
- On your own serverAlso runs without a GPU
- Industries
- Security, Customer support, Documents and accounting
What it does
- Flagging suspicious incoming emails
- Checking links from correspondence before opening them
- A first-level filter in a mail gateway
Where it is used
Hardware requirements
Versions
- phishing-email-detection-distilbert v2.4.1
- phishing-email-detection-distilbert v2.1
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can Phishing Email Detection DistilBERT be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Phishing Email Detection DistilBERT need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Phishing Email Detection DistilBERT support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download Phishing Email Detection DistilBERT and what does it cost?
The Phishing Email Detection DistilBERT weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
A compact language encoder trained on cybersecurity texts: tagging threat reports, finding entities and classification.
DetailsCybersecurityFoundation-SecCisco (Foundation AI) · USACommercial use with conditionsCisco models for information security based on Llama 3.1 8B: analysis of vulnerabilities, threats and incidents. Can be deployed inside your own perimeter.
DetailsText analysisModernBERTAnswer.AI and LightOn · USA / FranceCommercial use allowedA modern replacement for classic BERT: faster, reads up to 8 thousand tokens at once. A base for your own classifiers. Trained on English and code; for Russian there is RuModernBERT.
DetailsSource: huggingface.co/cybersectony/phishing-email-detection-distilbert_v2.4.1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


