Running
2
🐢
Tweet Sentiment
Classifies Bitcoin comments as bullish, bearish, or neutral
Efe Celik
efecelik
AI & ML interests
NLP, LLM
Recent Activity
liked
a Space
1 day ago
EudaLabs/tweet-sentiment
updated
a Space
1 day ago
EudaLabs/tweet-sentiment
upvoted
a
collection
27 days ago
Llama 3.3 (All Versions)
Organizations
efecelik's activity
liked
a
Space
1 day ago
updated
a
Space
1 day ago
upvoted
a
collection
27 days ago
liked
4
datasets
27 days ago
updated
a
Space
about 1 month ago
liked
2
datasets
2 months ago
liked
a
model
3 months ago
upvoted
an
article
3 months ago
Article
Welcome, Gradio 5
•
95
liked
a
model
3 months ago
liked
a
dataset
3 months ago
liked
a
dataset
4 months ago
liked
a
model
4 months ago
reacted to
Csplk's
post with ➕
4 months ago
Post
2373
# Offensive Security Reconnaissance Continued with Public Facing Industrial Control System HMIs using Moondream
Building on my previous experiments with Moondream for physical security reconnaissance planning automation (https://huggingface.co/posts/Csplk/926337297827024), I've now turned my attention to exploring the potential of this powerful image-text-text model for offensive security reconnaissance in the realm of Industrial Control Systems (ICS).
ICS HMIs (Human-Machine Interfaces) are increasingly exposed to the public internet, often without adequate security measures in place. This presents a tantalizing opportunity for malicious actors to exploit vulnerabilities and gain unauthorized access to critical infrastructure.
Using Moondream with batch processing ( Csplk/moondream2-batch-processing), I've been experimenting with analyzing public facing ICS ( Csplk/ICS_UIs) HMI ( Csplk/HMI) screenshots from shodan to identify types of exposed ICS system HMIs, how they are operated and how malicious actors with access to these systems could cause damage to physical infrastructure. Feeding images of HMIs and pre-defined text prompts to Moondream batch processing successfully (unconfirmed accuracy levels) extracted information about the underlying systems, including
1. **System type**
2. **Possible Operation Details**
3. **Malicious Actor Outcomes**
Next steps:
* I have a longer and more in depth blog write up in the works that will cover the previous and this post's approaches for experiments for sharing via HF community blog posts soon.
* I plan to continue refining my Moondream-based tool to improve its accuracy and effectiveness in processing public facing ICS HMIs.
* As mentioned before, offensive security with moondream focused HF Space once its fleshed out.
Thanks again to @vikhyatk for the incredible Moondream model. vikhyatk/moondream2
Building on my previous experiments with Moondream for physical security reconnaissance planning automation (https://huggingface.co/posts/Csplk/926337297827024), I've now turned my attention to exploring the potential of this powerful image-text-text model for offensive security reconnaissance in the realm of Industrial Control Systems (ICS).
ICS HMIs (Human-Machine Interfaces) are increasingly exposed to the public internet, often without adequate security measures in place. This presents a tantalizing opportunity for malicious actors to exploit vulnerabilities and gain unauthorized access to critical infrastructure.
Using Moondream with batch processing ( Csplk/moondream2-batch-processing), I've been experimenting with analyzing public facing ICS ( Csplk/ICS_UIs) HMI ( Csplk/HMI) screenshots from shodan to identify types of exposed ICS system HMIs, how they are operated and how malicious actors with access to these systems could cause damage to physical infrastructure. Feeding images of HMIs and pre-defined text prompts to Moondream batch processing successfully (unconfirmed accuracy levels) extracted information about the underlying systems, including
1. **System type**
2. **Possible Operation Details**
3. **Malicious Actor Outcomes**
Next steps:
* I have a longer and more in depth blog write up in the works that will cover the previous and this post's approaches for experiments for sharing via HF community blog posts soon.
* I plan to continue refining my Moondream-based tool to improve its accuracy and effectiveness in processing public facing ICS HMIs.
* As mentioned before, offensive security with moondream focused HF Space once its fleshed out.
Thanks again to @vikhyatk for the incredible Moondream model. vikhyatk/moondream2
upvoted
an
article
4 months ago
Article
How to communicate in a Pull Request?
By
•
•
18
liked
a
Space
4 months ago
liked
a
dataset
5 months ago