Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A7295B19444141F221286C5A5639FCE25C3910ACF530849AAF4126FBADEDF8DCBB3A5 |
|
CONTENT
ssdeep
|
384:IwQ5e94Rsqx33PafAIgmWlUrbg2TKXkDPTWlUNk9Gs90s90s90E:IwQ5euHJ3zsbg2T4kDPTypAs6s6s6E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34c334c765d4c59 |
|
VISUAL
aHash
|
00e7ffe7ffffe7e7 |
|
VISUAL
dHash
|
4d0c4a4d0c004d4d |
|
VISUAL
wHash
|
00e7e4e4273f2727 |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
4c0c084d0c004d4d,0040404040404040,9859667b6bf7ff7f |
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.