Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112F15128E2551331CC2783F98535B6BC398BE2DEDCA1D28892A486F47BD2DE4D61CCC4 |
|
CONTENT
ssdeep
|
192:qOSGZZbzcV3iJa+TtOE0Lqnizy/ozUfvP:9bzcV3iZRlAAomvP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5792a55d4aa80d5 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
112b920080000000 |
|
VISUAL
wHash
|
00000001feffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d4c1808000000000,1b5331b83a0b0b36 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.