Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5F2EAB08492DA3750E382C8A3765B6F73E18209CE571B06A7FC839D0FDAD56EC27654 |
|
CONTENT
ssdeep
|
768:xtonphF4OCphILtZh3phvv3phM8UsXwVRDYZ+VC:fAFWILfZbB2VRDYZ+w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa74c1c253a54bc6 |
|
VISUAL
aHash
|
fc8080800001ffff |
|
VISUAL
dHash
|
941d2d2c6da11418 |
|
VISUAL
wHash
|
fe80808000f9ffff |
|
VISUAL
colorHash
|
0a000000180 |
|
VISUAL
cropResistant
|
c884140d2d2d2c2c,061e171640020918,d41c0d2c0c1c6121,0080404040402020,0000010109030303 |
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 214 techniques to evade detection by security scanners and make reverse engineering more difficult.