Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1250333317001743B4AD382D66B361B6F62D1838ACE570B5963F8C7AC8FEBC90ED66615 |
|
CONTENT
ssdeep
|
384:qH0m1io0obHXsKyKEUa+aFVKnb328yGF2XKCsVMPHfzvVWO1QwCxtZ3R6mfv:qHqo9HvwFjmnwytbv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936c933c916476d3 |
|
VISUAL
aHash
|
000000000e0e3e3e |
|
VISUAL
dHash
|
946969185818d8d8 |
|
VISUAL
wHash
|
7e3c000c1e1e7e7e |
|
VISUAL
colorHash
|
31207000000 |
|
VISUAL
cropResistant
|
d3f2cbe3dfc9c99e,d2f3e3911df3f3f1,f0cc4ac4b4b6b4c2,946969185818d8d8 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.