Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147D155B2D154DD36076641C2FBB23B7FBAF1C249CB420E6413F8436E5BCAE61C912599 |
|
CONTENT
ssdeep
|
96:TIkzYh7MSfuSTytb8v67MoXdtmMqt3OWlGGAT431:ckzYhhjul8iI4dYMEeWlU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a07483de8ade82de |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
06969696960c02c4 |
|
VISUAL
wHash
|
00c3c3c3c0c0fc3c |
|
VISUAL
colorHash
|
0e030000080 |
|
VISUAL
cropResistant
|
06969696960c02c4,2b133333272bb272 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.