Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188E13011C6847B2C225A819DF672C6DEB704079AE21E4FC5A779823F78941E5C63AACC |
|
CONTENT
ssdeep
|
192:thMFZy/yf8KiLavhqhF9p/Pgv3yCbpLAN6k:MFZZy+vY4k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92ec6d9a92ece191 |
|
VISUAL
aHash
|
fb0040466c6c007e |
|
VISUAL
dHash
|
03b8868c88a8c2ca |
|
VISUAL
wHash
|
ff0042e66e7c00fe |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
1fdfceaee6ced060,03b8868c88a8c2ca |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.