Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B448A234119792A4437C6D024A99B7AD5B6DE4BFAA70A000FECD7F63BF9C50741B22D |
|
CONTENT
ssdeep
|
1536:y31RRhFyVjvL7rNXCuaEKqDqrEMqNPRldUgQmTa3MZo+Hd1+T0HIAWG84wusA+6R:/OQ9lfQ1Kkg4YNL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e852c29e166eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
a8d183331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21929094d5d29090,a4a564baa2535340,020e935b2ca55553,38789d9c8c8c8d8f,82909a96968eb082,8c003a3727300e0e,8ce8e9d1802b3394 |
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)