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    Phishing site analysis and blocking service using generative AI

    Go to AskURL
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    Severity of Phishing and Smishing Damages

    Phishing and Smishing Have Become the Biggest Threats to Cybersecurity

    Phishing and Smishing Are Causing Serious Societal Losses

    [Phishing · Smishing Attack Methods]

    Phishing

    • Impersonating financial institutions, etc.
    • Fake Internet Addresses
    • Personal information theft
    • Criminal account transfers

    Smishing

    • Sending a link to a fake Internet address
    • Installing malware on connection
    • Stolen personal/financial information

    [The Scale of Phishing · Smishing Damage]

    Scale of phishing damage

    (2018~2022)

    Number of damages

    • 227126
    • cases

    Damage amount

    • USD
    • 1
    • .
    • 26
    • mil

    Scale of smishing damage

    (2019~2021)

    Number of damages

    • 17841
    • cases

    Damage amount

    • USD
    • 13
    • .
    • 3
    • mil

    Limitations of Traditional Response and Prevention

    [Phishing · Smishing Features]

    Short Life Cycle

    About 84% of phishing sites exist for less than 24 hours

    Various Forms ①

    URL Shortening Service

    • bit.ly/xxxx

    • tinyurl.com/xxxx

    Open Redirect Vulnerability

    • htpp://www.naver.com/newsite/home/link.php?url=www.xxxxxx.com

    Various Forms ②

    Clone similar domains & sites

    Normal domain

    • news.naver.com

    Phishing domain

    • news.naverportal.com

    Various Forms ③

    Using Punycode

    Normal

    • naver.com

    • a Alphabet

    Phishing

    • nаver.com

    • а Cyrillic

    Various Forms ④

    Qshing attacks using QR codes

    • Download malware on connection

    Various Forms ⑤

    Specific targeted attacks
    (malicious apps)

    • Fake traffic complaints

    • Fake obituaries

    Existing security technologies can't stop phishing and smishing at the source

    Combine Big Data and AI to Stop Phishing and Smishing at the Source

    AI phishing analysis · prevention solutions

    AskURL Detects Phishing and Smishing with Unique Analytics Technology

    A solution that analyzes URLs in messages from texts, mail, messengers, and more in real time to protect against phishing, smishing, qshing, and more.

    URL Analysis Process

    Cyber threats (phishing, smishing, qshing)

    URL Preprocessing

    URL DB Search(Normal, Malignant, Scan History DB)

    Extract various features and capture screenshots

    Analyzing URLs using similarity analysis techniques

    Final judgement on URLs using generative AI

    Detection of new & variant cyber threats through data mining using a learning enginethrough data mining using a learning engine

    (Current URL analysis technologies cannot detect new & variant URLs)

    The Uniqueness of AskURL

    AskURL Solution Competitiveness

    Accurately Analyze and Block Various Types of Anomalous Phishing Attacks and Provide Detailed Analysis Results to Users

    Analyzing different forms of URLs

    Big data-based similarity and AI analytics

    Analyzing tampered email addresses

    Normal
    • noreply@google.com
    Phishing
    • service@google.com

    Analyze similar URLs

    Normal
    • e0f8fef6f2ecfcf4
    Phishing
    • e0f8eed4d2ecfcf4

    Analyzing shortened URLs

    Phishing
    • buly.kr/8TmnstV
    • bit.ly/47xOAt3
    • Analyze unidentifiable shortened URLs for normality

    Analyzing URLs for special characters

    Phishing
    • naⅤer.com
    • ⓝaver.com
    • Detect the use of symbols that bypass filters

    Analyze malicious applications

    Analyze even malicious apps linked to phishing sites

    How to extract malicious apps

    A user requests to extract an application (APK) associated with a phishing site. URL normalization Access and analyze phishing sites Analyze phishing site vulnerabilities Phishing site attacks Extract the APK (download) Extract and store APK information and features
    　
    • Personal information required
    　
    • When personal information is not required

    Ability to extract URLs

    Extract and analyze various features in phishing URLs

    bit.ly/47xOAt3 User ID Password 1 2 SIGN IN 3 4 5 6

    Phishing sites and extraction information (example)

    1
    • Extract DNS information, site annotations
    2
    • Handling special characters
    3
    • Site character
    4
    • Extract final destination
    5
    • Captured image
    • Sites, scripts, tags…
    6
    • Extracting QR Code URLs

    Provide detailed analytics

    Increase user trust by providing detailed results

    askurl.io/ Enter a URL, text, or QR image link to scan.

    Provide analytics results and details

    Analytics Results
    Screenshots
    Site IP Addresses
    Site countries
    Domain Names
    Text message judgment
    • Terms of use
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    • CEO : Kei Choi, ChungHo Park
    • Rep : +82-2-2671-3344
    • Support1 : +82-2-2671-2888
    • Support2 : +82-2-2672-2888(CrowdStrike)
    • Fax : +82-2-2138-0909
    • Email : support@nurilab.com