Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19513FFB56002797B4593EAEDD239D30FB3829694CB034F1467F4D39A9ADBCA8FD22501 |
|
CONTENT
ssdeep
|
384:WqqsdIIwEmPuALvDQ+PzimV6JQ7OLt62YycIAXbqxJQkYg:WqquIIlc/vs+blMKOdvclbqjNB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81673e18c763731e |
|
VISUAL
aHash
|
000060737e6f6327 |
|
VISUAL
dHash
|
d237cbc6ec98cf6e |
|
VISUAL
wHash
|
000061737f6f27bf |
|
VISUAL
colorHash
|
100060000c0 |
|
VISUAL
cropResistant
|
d237cbc6ec98cf6e |
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.