Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9A2B732A1502E3B5373C3CEB7A1B71EA0A3924DD756180956F8476E8BE6FA0CD1741E |
|
CONTENT
ssdeep
|
384:MOCy5N6hwnoVqigTqFQxHd7+pPIIIRPVUncP/X1eYico9/BXbprkccJRIYsOy2+O:XCy5N6sxd7+pPIIIZVUncP/X1Qco9/Bc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8209bd32f56d96c9 |
|
VISUAL
aHash
|
000020200004ffff |
|
VISUAL
dHash
|
9ff7c3c3cc0c1300 |
|
VISUAL
wHash
|
00733170240effff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
fbbfe969e9ffffff,0080801858808000,8ff7e3c1cbcc4c13 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.