Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0C2A5729150273F0293C2C9B351BB1EA3E7968DDB89180693FD876E0BE7E40DD13A16 |
|
CONTENT
ssdeep
|
768:hSXy5NlMVereZW1eZaG5FZ9rz0GKr7sOy2+y9BH4cLIe:WVereZW1ob9rz03r7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd32d0698582 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1449c3c3cc4cb200 |
|
VISUAL
wHash
|
80fd31200c06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
408080106c888000,14094bc3e3cccc36 |
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.