Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6448A234119792A4437C6C024A99B7AD5B6DE4BFAA70A400FECC7F77AF9C50741B22D |
|
CONTENT
ssdeep
|
1536:+C8A31RRhFyVjvL7rNXCuaEKqDqrEMqNPR51UgQmTa3MZo+Hd1+40sP2WG84wusF:+C8JOQolfQw7w4Y4I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e853c29e166eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
a8d183321432271c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
61969096d7d49094,242565652aa2d3d3,5210b5a9e3d34b23,38789d9c8c8c8d8f,82808a8e9692e882,14003b3c23370c0e,88e0e1d1802b1394 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)