Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5F10CF1D050ED37035386D9A7B9AB0F7692C349CB47064193F883ABABDACA0CF15599 |
|
CONTENT
ssdeep
|
96:TkYkGn7D71tVt8v67MMdv6NSS8ctmMTupmwvF4QexXoHF1eVXFz/cftoHcff2J:QYRn7D71Tt8iI2v6TYMSpoyabzwUwfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece4129bed12926d |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0606060606080400 |
|
VISUAL
wHash
|
fff3f3f3f3000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0006060604160608,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.