Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3536230A900D82500DBD5CAA6B65F6A12F5C349C60306DEFAF4D3F997DEC69DA73209 |
|
CONTENT
ssdeep
|
768:ADZsIx/j4f49JGHhJD0pN/+LgkCuW/QWPsGc1cSL2KUf7x:+ZsIxcf49JGHb6yk7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3ad87b8c198ed8c |
|
VISUAL
aHash
|
ff00000000000c3c |
|
VISUAL
dHash
|
0240c3818220f8c0 |
|
VISUAL
wHash
|
ff2070f0c0c07e7e |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
0016621316622202,4c41c1818238e8c0 |
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 2919 techniques to evade detection by security scanners and make reverse engineering more difficult.