Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183C163739018C82A4FE7958DFB80E4CC9296D257F7309ACBA2D5602E5EC0EF5899136D |
|
CONTENT
ssdeep
|
96:2e2+V12JG2FCoaR1sYYfMmORR1E8VCondhqpEoz7Mh7l:2mVkAdYfMmUU8VCodX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a52526ceee240ddb |
|
VISUAL
aHash
|
03030303ffffffff |
|
VISUAL
dHash
|
0e9ede3e74eecece |
|
VISUAL
wHash
|
030303030fff6f6f |
|
VISUAL
colorHash
|
17c00010000 |
|
VISUAL
cropResistant
|
0e9ede3e74eecece,cd5c98d9d99599e3,0b41c396e6e68629 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.