Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1710F7220D87A3B1353C2D6A675BB0E76C4C346C7C61B1225F583CD1BEAC6ACC2E652 |
|
CONTENT
ssdeep
|
48:beEKc7P7OiPiJvcfoLq6PmmXMbNoiNP/QHKhLybHhB5/Dj:Br7q0iJvcfoLq6Pmm8bNoiNHqnpf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88b472dd1934dd1d |
|
VISUAL
aHash
|
dfe5670119980400 |
|
VISUAL
dHash
|
96cdd55573728cd9 |
|
VISUAL
wHash
|
dfe5f72719b80408 |
|
VISUAL
colorHash
|
39202008040 |
|
VISUAL
cropResistant
|
fffffff3f3ffffff,96cdd55573728cd9 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.