Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119B53922E3111D60A579CDC0F39FDB657109275A96058C7C6BFA8637ECCD82623E83B9 |
|
CONTENT
ssdeep
|
6144:DSiyF1uhXXA3X97h6DE0ipxfXrzajjCn+:DSiyF1oCn+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a799b20718a75 |
|
VISUAL
aHash
|
ffffc3c3e7ffc3c3 |
|
VISUAL
dHash
|
96968e8e8e489696 |
|
VISUAL
wHash
|
c3c3c3c3c3e7c2c2 |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
96968e8e8e489696,565656291b56565f,93c9ad52d263abad |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.