Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F53FA8A6452602A4B3340E348BB1F99737D5C1FF82905A195B8CBE673DCCB5312BB5B |
|
CONTENT
ssdeep
|
768:PyWuP8X8UvYAW3pd7sNou5D0mFFRfO5oIjaeVdP3obvtBxxK/j2lSxHyOzxHRBaz:EEoABUdyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b947c47847303b7a |
|
VISUAL
aHash
|
7f9f8f8f898fcfff |
|
VISUAL
dHash
|
c4793b1a3b1b3ca4 |
|
VISUAL
wHash
|
000f898f888f8fff |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
c43b1b1b3b1b3c24,00000c7071792814,37199999999d93cf,4585587072220c21 |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.