Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151D29371A1006A3B11A7C3DDB361F73EB2D39349DA46191252FA839D0FE7D90DE2345A |
|
CONTENT
ssdeep
|
768:ZFyPy5Nc0F2FSsxw36Qts1tUo7sOy2+y9BH4crIe:ZzwUiz7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
876bbc32f910c3c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1f67c3c8e0ccec00 |
|
VISUAL
wHash
|
81f77100000effff |
|
VISUAL
colorHash
|
39000200038 |
|
VISUAL
cropResistant
|
c480800458988000,1f0fc7cbc8c0ccec |
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.