Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162B374B1A044E67302A393E19B2A5B6773D58259CF43059A92F8C7AC3FF6C55FC079A0 |
|
CONTENT
ssdeep
|
1536:e1UdwNKUdwOSeeeDeeeACUdwhWcYzUdwH1Udw/7:U+WcU7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf79704231657572 |
|
VISUAL
aHash
|
403c198b3c3c3c5e |
|
VISUAL
dHash
|
96e92b33e96969a8 |
|
VISUAL
wHash
|
483c19993c3c3cfe |
|
VISUAL
colorHash
|
38001400010 |
|
VISUAL
cropResistant
|
96e92b33e96969a8 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 1497 techniques to evade detection by security scanners and make reverse engineering more difficult.