Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193344AF52710A3AD16EB8BE9EB37EE55311D005EF52A4C80E29CCB7B52C7C84B51B984 |
|
CONTENT
ssdeep
|
1536:4rZ2RQgz92dMnEIjvRJpElPcDqnBQkD4cS7P8tj7QEXcU/aUqIfEIPgosNJqQa5w:4WxJpuFDqj1C7a3EyTTwsiW16+1b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a0ae76acadbc8c2 |
|
VISUAL
aHash
|
ff0000080000ffff |
|
VISUAL
dHash
|
61cef971f1746e0c |
|
VISUAL
wHash
|
ff000c1c1c00ffff |
|
VISUAL
colorHash
|
0b001e00000 |
|
VISUAL
cropResistant
|
4001614969510066,dad8d8d9dbe6ab2b,232339dcd9d992be,de00100c0c320f0c,66ccd871f8f1f176 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.