Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139026F9ACEA0567BEEC386DFB161BF6DB2CB149BD146A944B0F411C1C381F548D28636 |
|
CONTENT
ssdeep
|
192:MCkp+K0kKnh0hZwB4Du9tBqiuzIal1juTdk:MCNNkSuZwZk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b226dc9998667699 |
|
VISUAL
aHash
|
ffc3e7e7ffc7c3ff |
|
VISUAL
dHash
|
2b8ecccd98cc0e32 |
|
VISUAL
wHash
|
df0302434347c3ff |
|
VISUAL
colorHash
|
07c00008040 |
|
VISUAL
cropResistant
|
2b8ecccd98cc0e32 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)