What is Homoglyph?
In a Homoglyph Attack, also known as domain spoofing, an attacker tries to fool humans and computer systems by using such characters and symbols which may appear visually similar to characters used in the real domain but are different. Users are lured into clicking on the fake domain and redirected to a suspicious domain via which the attacker releases malware and collects sensitive information.
How can SecurityX help?
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Monitoring network packets in real-time: When it detects
domains containing suspicious-looking character sets, it
automatically prevents access to that domain.
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Alerts to potential attacks & spoofed websites: SecurityX
continuously monitors and alerts you to potential attacks and
spoofed websites. Once such sources are identified, SecurityX
immediately removes them.
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Safeguards company’s branding: Our team of specialists follow
a foolproof remediation protocol to effectively mitigate the
risks to your domain while helping you retain the company’s
reputation.
Process Implemented Using Neural Network
We at SecurityX use a cutting-edge solution known as “Siamese
Convolutional Neural Network (CNN).” to detect homoglyphs without
the need to provide paired data.
Instead of comparing strings to a standard list to detect the
homoglyph, CNN uses a “learned” metric system. CNN algorithms are
built to detect the visual similarity of the rendered strings. It
does so by converting the domain names to feature vectors or
images. These images are then indexed using randomized KD-Trees to
perform a comparison. When a new domain name is observed, it is
converted to an image and searched in the KD-Tree index to find
any visually similar matches. If a match exists, then a homoglyph
attack is detected. This technique shows a considerable 13% to 45%
improvement over baseline techniques.
Result-driven Anomaly detection
Our end-to-end anomaly detection system is useful in the real
world to safeguard users’ critical information by preventing
them from any such attack.
It detects anomalies across the business quickly and efficiently
while reducing incident-related costs significantly. Built with
a robust defense system, the SecurityX anomaly detection system
works to handle any plausible threats at a lightning speed.
Accelerating Network Security with Artificial Intelligence & Machine Learning
Using artificial intelligence (AI) along with machine learning (ML), we can help catch data abnormalities even before they impact your business.
Disruptive technology to protect your business
Using AI models with ML is that they can be trained to
automatically analyze datasets, decide what’s normal or abnormal
behavior, and identify breaches in patterns quickly without any
human intervention. With continuous self-learning mechanisms and
the goldmine of massive knowledge it collects, the AI/ML model
perpetually is in a state of predicting future anomalies rather
precisely.
We developed state-of-the-art Machine Learning to predict
whether there is an attack or not — in real-time. Our system was
found to be accurate 99% of the time. For evaluation purposes,
we compared our performance with other baselines and were found
to outperform them.