Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B430D30A440E83B46CBA6C85A72672A63F64345C6130699FBF183ED5BEFD59CE33506 |
|
CONTENT
ssdeep
|
1536:+FJsIxfo4edJ7sXedbTcUJjSj2vDmbXhUcOSSoLX8g1V7F:ajo4mJ7sXmbTcUJjSj2vDmbXhUcEiV7F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d525fa3e58f02075 |
|
VISUAL
aHash
|
003e667e0204fcfc |
|
VISUAL
dHash
|
2de6cec2f6f41918 |
|
VISUAL
wHash
|
043e6e7e0204fefc |
|
VISUAL
colorHash
|
03040003080 |
|
VISUAL
cropResistant
|
2be0eececed0e6fe,fef6f4e419181019,34cbcc2c4c0c0304,e2cececac6fefef4,0f3d36a6fcddddf3,8a9383cbda8e8406 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.