Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDF10DE1D000ED3B035385D5A7B6AB0F7791C749CB470A4593F883AAAFDACA0CE25589 |
|
CONTENT
ssdeep
|
192:QVVL5nfzD715lt8iIG9YMpFa0y5c+kmdzC5GYYdw:QVVL5nf1Z+MpFa00r+GYYdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ce666cc0c33 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
000808100c001008 |
|
VISUAL
wHash
|
0f072727e7e70000 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
00080808180c0810,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.