Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF6311309410E92F06CB66D4A676279A63D68305CB130B49BBF983E96FDFC18CE37165 |
|
CONTENT
ssdeep
|
768:qsIx/jYIIekJX84XaOhrYWhsEWhl/As6s6s6s6HbAQLjT91GUf79:qsIxcIIekJVXSvDoXXXX86Z79 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a37f52050b79e0e3 |
|
VISUAL
aHash
|
0081efeb7b736020 |
|
VISUAL
dHash
|
c0471f5bc3c6c6c9 |
|
VISUAL
wHash
|
00a3e7e37b7b6260 |
|
VISUAL
colorHash
|
1bc00000000 |
|
VISUAL
cropResistant
|
81b04f4bcf93cc08,c0471f5bc3c6c6c9 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.