Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDB33C703654B56B25B343F7609B2712B278861FD40F8C24B764E8EA639CC9E9163F86 |
|
CONTENT
ssdeep
|
1536:JzaqeS9fPSMitLTVq53QSoHxh8N6FmbXhjaPnQsR+Fuopc:JBe5dTjzmN6UbtZ9S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a302ecfc39d2d8cc |
|
VISUAL
aHash
|
0100000003ffffff |
|
VISUAL
dHash
|
3befedddff084c27 |
|
VISUAL
wHash
|
0f00000107ffffff |
|
VISUAL
colorHash
|
06000e00008 |
|
VISUAL
cropResistant
|
3befedddff084c27,a139fadafa7e3fbf,ffdfefefeddddfff |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.