Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C02E0E0C415EE3B436395D9A7B66B0B37D1C349CF02094493F883AB9BCAC90DA2659D |
|
CONTENT
ssdeep
|
96:TkfUZDtSTBEWhUSPRr8v67To1SFUwDGhl2ZeXWCYrGhluCXDCYrGhlGCXvCY+/2O:QfUZDcVB8id5GOCyGLCyGPChQz7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6a64ccd19b931a6 |
|
VISUAL
aHash
|
ffe7e7e7ffffff00 |
|
VISUAL
dHash
|
a24d4d4d0c300000 |
|
VISUAL
wHash
|
ffc7c3c36400ff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
a24d4d4c4c300400,a2a2a2a2a2a2a2a2,a2a2a2a2a2a2a2a2,82a2a2a2a2a2a245,880bf4c4d4d4ccf0,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)