Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FE10DF1D004ED37035285D9A7B96B0B7791C34ACF071641A3F883AB9BDAC60CF25599 |
|
CONTENT
ssdeep
|
96:TkYIksn7D71tVt8v67McdwytFJQ5XwvlmeBXTHlFexXVX/1hytFkO6fq2J:QYIbn7D71Tt8iIGwy3q4ti7Xjy3faqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e41b9b18ec139b |
|
VISUAL
aHash
|
f3f3f3f3f3ffff00 |
|
VISUAL
dHash
|
262626a626500000 |
|
VISUAL
wHash
|
d0c0c0c0f3fbf300 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
262626a626000600,fef831fce869fe7f,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)