Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9C264725045D53F017393D06360BF58B2C39209DF855244EBF8678EAFE6C92EC266AD |
|
CONTENT
ssdeep
|
192:eO2nGvL22BRb4GCdYtZglVBjrDIgV0LdwAyW1YQhWwDIxV0s:eGvXBoOtGLXDII0HJ5hBDIP0s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cd9832c771b2c4 |
|
VISUAL
aHash
|
ee8fffe1e38787ff |
|
VISUAL
dHash
|
0e3b3c4b6b0c3fc3 |
|
VISUAL
wHash
|
868b8ba1a38787af |
|
VISUAL
colorHash
|
07002200400 |
|
VISUAL
cropResistant
|
0e3b3c4b6b0c3fc3,b058d9c9c3d65c2d |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.