Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C5274216110CD3B406B9AD9B7D9E71612D7C389CB05078582FD93FF0AF6CA4FA27A85 |
|
CONTENT
ssdeep
|
192:WWctt+karxrF4gDOscRiYlXzLYJyhUCPrRm:SbarxOgDXcRLlXHYEhzQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc96a39d33389c33 |
|
VISUAL
aHash
|
fffe1818003881c1 |
|
VISUAL
dHash
|
766420b168332303 |
|
VISUAL
wHash
|
ffff181c1038c1e1 |
|
VISUAL
colorHash
|
30000600080 |
|
VISUAL
cropResistant
|
0000000606000000,766420b168332303 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.