Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15972EB2B938412260BA21985375F12DED31B509C36328F9838E8CA3C67D39A577767CF |
|
CONTENT
ssdeep
|
384:QvtwZ07tV16b56/9HwkH+wILB5wKTCXBL+zknkvQU+tFwr:QvtwZ0hV16bglRI7wKTC99nZU+Qr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4db271e3e64f0e0 |
|
VISUAL
aHash
|
0707e70707070707 |
|
VISUAL
dHash
|
7e5e9e7ebedeeeae |
|
VISUAL
wHash
|
073fff0707070707 |
|
VISUAL
colorHash
|
130010001c0 |
|
VISUAL
cropResistant
|
c0c0e0c0c0c0c0c1,f28232bea2a2fa80,8ec1b089f19c0f21,7fa7a42b9fe679c8 |
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.