Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C923B67158C82F3F53D392C86391968BD3D5854CF2BAC64AF5DA872E4AC4984C83EF58 |
|
CONTENT
ssdeep
|
768:x1ob5kcVBZPUHF5W2AHQNO2pdTa8Eh9Z9k5wK9c+bmTuuy03/OvVe/9TtO/Hxy52:xSbtVBZPOFgTQN7va8Eh8w6c+bmTuuy/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946b84b6e996b1e2 |
|
VISUAL
aHash
|
ff00000000063e7e |
|
VISUAL
dHash
|
7370c4f0c8dcecec |
|
VISUAL
wHash
|
ff1800180c7e7e7e |
|
VISUAL
colorHash
|
01000000030 |
|
VISUAL
cropResistant
|
0001416363490002,948cc0c4b4a0881e,b0f9ec64e4e46254,70e0d4f0ccccecec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.