Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C146672627871BB7E9753DCD6E42B1E66B38705CAD309C2E2D097894F8ED92F80641C |
|
CONTENT
ssdeep
|
6144:9yKoQdxRy8PHIcdkckUyeR1novb5zm3IkWMVS/ANuI/:LoQdxRy8PHIcdkckUyeRFAb5zm3IkWM3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf4158371fc182d9 |
|
VISUAL
aHash
|
0000ff070707bf3f |
|
VISUAL
dHash
|
2a2bce6f2f4f7e7a |
|
VISUAL
wHash
|
0000ff070707ffbf |
|
VISUAL
colorHash
|
0b006000200 |
|
VISUAL
cropResistant
|
fdce672f4f4f327e,256a2a2b2b3b2b01,cb3c58590098c2c0,dcd8d919d8b27a8a |
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 941 techniques to evade detection by security scanners and make reverse engineering more difficult.