Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162226233E500CD2A8D9B558CF2C09689452DC345FB3148CAB1A091FF7BD4DF16AA97AD |
|
CONTENT
ssdeep
|
192:FLln3Ji1XdjtFXvQx4tx4McnthWeNWbnfMmUU8VCoUkN6S3:llc1NjthPfMmUFCoUkN6S3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8100ab2b177fef89 |
|
VISUAL
aHash
|
007c7e3c3effffff |
|
VISUAL
dHash
|
dbccdcdcd0044000 |
|
VISUAL
wHash
|
00003c041cffffff |
|
VISUAL
colorHash
|
06442008000 |
|
VISUAL
cropResistant
|
dbccdcdcd0044000,c0c0c0f0cec17c1e,2b9f2fb933abb32b,5615185858585860 |
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.