Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AA2A265A083399E5477C7E2B0665F4C34568B36C21CCA2C93BD17897BCACE578263BC |
|
CONTENT
ssdeep
|
384:H8F20MOqKD+LJsqGUNoFNDVNyMV7Sp4BeM0EKdBGwT7T7T7T7T7T45dmNBkTzhBV:H8F20MOqKD+LJsqGUNoFNDVNyMV7Sp4n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2d57adf007e803e |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
4c49cad0c5800fcf |
|
VISUAL
wHash
|
00a57f7f7f7f0000 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
4c49cad0c5800fcf,99a8c080ceb7b3b3,0d0d8ede3ebea1ce |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.