Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB1360708492623B0283D6D1A7752B5BB3C18349CF635A1593FC836EAFDBE16ED1B520 |
|
CONTENT
ssdeep
|
768:3VY0XIwpEpQNAs6s6Veeeeheeejeeeqeee4UCRIBy5ZUf7Q:3VY0XIwpKQCXXVeeeeheeejeeeqeee4t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e95a926e12396d59 |
|
VISUAL
aHash
|
00fff981b1b1fbff |
|
VISUAL
dHash
|
4502d333236792ac |
|
VISUAL
wHash
|
00faf1818131fb7f |
|
VISUAL
colorHash
|
07c01000001 |
|
VISUAL
cropResistant
|
45a25333637792ac,000202a6e6060200,1763cd414b130323,ff472b938b452450 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.