Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF52E820E2A9253F835B87A8B654766D319BD2CFC6500790F6FC10B2368BDE5E0896DD |
|
CONTENT
ssdeep
|
192:650AeP+DQi0sd4YHcq1Vtvtct8TxY8XIovXnw7x6W/33qOSGU7pFeDeKBfr:Y0ATNcYHcq1blE8dY6nw9H33qf/eDZj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8705d4d5555d74d4 |
|
VISUAL
aHash
|
7eff0000ffffffff |
|
VISUAL
dHash
|
c0805151800c0000 |
|
VISUAL
wHash
|
003100003fe7ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c0805151800c0000,0000081010100800 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.