Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7125023B600DC2A899B4ACCF6C49589451DD386FA314CCB72A491FF7BC0DF0A5A879D |
|
CONTENT
ssdeep
|
192:9r3+Ed8v0XXUx3b2xM0McnthWeNWbt/fMmUU8VCoKS:xZ8cXgnZfMmUFCoKS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331ce4ec5cc4ec4 |
|
VISUAL
aHash
|
cfc7cfc3c700ffff |
|
VISUAL
dHash
|
199d999f1f611d00 |
|
VISUAL
wHash
|
8d858d818500ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
199d999f1f611d00,0080808088980800,001824b2b20c0000,0002010242000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.