Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6C2A871A1142A3F0293C2C47761B35EA3D39249D786080663FD879D4FEBE90EE2765D |
|
CONTENT
ssdeep
|
768:CS5y5NCjhIJ3C3FkP27sOy2+y9BH4crIe:fjVw27sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53adc2cccc4 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cccc0c8cdd70e00 |
|
VISUAL
wHash
|
00e478302c07ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cccc8c0c8cdd70e |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.