Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AF3527039435826319F51DFA01B271EA2C2D7CAC6136AC676F4836D9FF5CA0BEA7190 |
|
CONTENT
ssdeep
|
1536:Q4446OUqN0ijAEbACcE3CkjBUwRbumX0Eng98998398R98t111111111tDQUz0iJ:Qe6bAACz3fgOa8oDQUz0iwklUnKr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f434cd687ab65464 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
baaa848c95930402 |
|
VISUAL
wHash
|
0000f204c0ffffff |
|
VISUAL
colorHash
|
32200000180 |
|
VISUAL
cropResistant
|
1741868600040202,b8baaa848c8ca583 |
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 1031 techniques to evade detection by security scanners and make reverse engineering more difficult.