Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CB381D61628438CA04B996DEF2FFE05131FB4AAB95889801A4FC26CD2DF4D6F71752C |
|
CONTENT
ssdeep
|
768:lA5VlT73W1rRf6hyG7kry0RQ7Hgs/9PyfR8MRERXQHK51qRXV9X/9PyfR8MRERX0:O5r90RQ7HgsFsR8MLqcDXFsR8MLqceWH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b146caaa95a5e6ca |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
42008a8a9e14961e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1e600c00000 |
|
VISUAL
cropResistant
|
0000000000000000,8a1c9e1696101e1e,800103898a8a9a9a |
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 153 techniques to evade detection by security scanners and make reverse engineering more difficult.