Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEC29631E010363B029793C9B361F36DA2D793C9E74A090553F9935E8BD7EA0DE6352A |
|
CONTENT
ssdeep
|
384:1Xe/y5NxYx7XS21t6TDtsQh7v7Yb0RDLnNY0ZP8pTIYsOy2+y9BH4cCUIe:Re/y5Nx4Xr6Cb0ZPO7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363fc3a9d29c183 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cccc2cccde300 |
|
VISUAL
wHash
|
00eef6302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6c2cccdf3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.