Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF026F9ACFA0567BEEC386DFB161BB6DB2CB149BC146A944B0F411C1C381F558D28636 |
|
CONTENT
ssdeep
|
192:MCfu+K0kKnh0hZwB4Du9tBqiuzIal1juTdk:MCXNkSuZwZk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6668c9998663699 |
|
VISUAL
aHash
|
ffc3e7e7efc7c3ff |
|
VISUAL
dHash
|
2a8e0c4c180c0e32 |
|
VISUAL
wHash
|
d7c2c3c0c2c4c3df |
|
VISUAL
colorHash
|
07c00008040 |
|
VISUAL
cropResistant
|
2a8e0c4c180c0e32 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)