Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10881735BD028900B5317D5F8FA406648C883734ECEA5EA86D5F1096C27ECCB178BB79E |
|
CONTENT
ssdeep
|
96:/PNw/w0R010RW0RU0RmeamtayiMAUXkM8cqoeBxfON1r:/PNwo0Q0g0e0MVmtaMI5ON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e16169606168fdbe |
|
VISUAL
aHash
|
0040ffffffffffff |
|
VISUAL
dHash
|
978c08880c000000 |
|
VISUAL
wHash
|
00002727e7fff1f0 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
978c08880c000000,6687a7a6b65746a9 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.