Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184425161D158690A6266A2B5FD31CBA6B30543D5D2068FF8BFF591B7F80C2B01C3A1DE |
|
CONTENT
ssdeep
|
192:7hX34AzaVhXwLp7aQqm9VD0PG+ibap0KIsZ4n30WBbO:7h4ZW9odx43dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd1e617e416b4661 |
|
VISUAL
aHash
|
00ffffffffff836a |
|
VISUAL
dHash
|
94306c38fc2813d2 |
|
VISUAL
wHash
|
009fffbfff000068 |
|
VISUAL
colorHash
|
07600030000 |
|
VISUAL
cropResistant
|
36347868dc2913d6,002493949c834400,646a6a6b6b6e6e6f |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.