Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B0234E1C044DC3B531385E9B7F52B5F7696C345CB060E8863F892EB5BDAC60C913A99 |
|
CONTENT
ssdeep
|
96:TkRh7mohOlzH0X0eGnVTdIVTY4vWwvFkeNXaHFQepXpHkk9X5z/NVTPaQqR:QRh7mohOlzH0XsnzI2qEZnRzV1aQA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c39890c7c7b8b8 |
|
VISUAL
aHash
|
ff00203000000000 |
|
VISUAL
dHash
|
cdd442ccc0100000 |
|
VISUAL
wHash
|
fffe707078400000 |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
0000d9c5cdc8c4d6,8080808080808080,8080808080808080,cd12c8c890000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)