Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE73537242427A3F258342E1932DEB59F3C3D609C7634A96A7E8835FA787DE0DD36064 |
|
CONTENT
ssdeep
|
1536:smWTPa4w5ADcMR0s4CL23dyK01DGe9jUZ0/xVuz8bO:sm+cs70Kjr1O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2516c3696d6b664 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8493d0d8cccc3387 |
|
VISUAL
wHash
|
00003c7e7eff91e3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
d0c8d4cccc33271c,8cb3d3d3ccc8d4d4,4561417971690141,b435554a2dadcdc4,00454d71714d4582 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.