Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E528573720D3737028352D6A7A767F7B3C2864CC2120F5992F9C28E5B92C49DE63A95 |
|
CONTENT
ssdeep
|
192:CVEZQVCI9T7VBCFVy1UlV+UjRvAf0tJm5llCsTHUGfYfCTZgG550fwhLRqu:exzUFwurRv+0tJellCCHoCdgG0fwlou |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76c383a34c93cc7 |
|
VISUAL
aHash
|
0030787870387c00 |
|
VISUAL
dHash
|
30d0c0c0c0f0e904 |
|
VISUAL
wHash
|
1878787878787c7c |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
8200c0c0c0c00082,30d0c0c0c0f0e904 |
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.