Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15254BE234259692A4437C3D034B99B7AD5A6DE4BFAE70A010FDCC7F63AF9C50741A22D |
|
CONTENT
ssdeep
|
1536:ZRsXUgQmTa3MZo+Hd1+40lIqyN8kEwd+Smfu4/ZT4oU5yd0DyZOLuC7yeTiXJftw:6OQoG/fQwQyyeTiXJftt4Y4B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e051c29a167eb3f2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
88d287169433270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
6192901697941094,3c6ede8ece8e8e8d,d60f96943027070c,82008a8e9e928082,88c2d0d68e6f9694 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.