Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160D25F317180ED374097A2E5B3A1972B72A5C386CA03038583FDC3AE4FE6CD4ED26995 |
|
CONTENT
ssdeep
|
768:1dlaOxTPvXcnFnDv9+nolYt2rvdGt6WPzJwxTJrYhQ:1dhPvXcFDIkWIVl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c3c7cec4327538 |
|
VISUAL
aHash
|
fecf878f8f8f8fde |
|
VISUAL
dHash
|
e01d1c39353a3932 |
|
VISUAL
wHash
|
0c8f878f8f878786 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
e01d1c39353a3932,2aabe39e5e65d4d6,70b0b06243a60e4b |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.