Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB51DB316004E63B18D7D3E12631A3AF63D4DA46EB47099152F8837D0FD7E8AEC36680 |
|
CONTENT
ssdeep
|
48:TtEhEbChgobzSVVm15UYO/Zqb5lrA+7evnkbuKfmRCQpwNm:TtcdSVs8xA5lUD2uKfmzpd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3664d6666195c33 |
|
VISUAL
aHash
|
00efe7e7e7efffff |
|
VISUAL
dHash
|
8e0c4c4c4d08189a |
|
VISUAL
wHash
|
0000c0c3e7cfefef |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c4c4c4c4d18599a,0010083232080000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.