Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FE2B5F310C97A3B542773C92680F705F2D2820DEEC18DAA93F987DD52CAE94F95164A |
|
CONTENT
ssdeep
|
768:AgA8CnA8+YPvZ4cPs+1d9eHTRDYrWv+oKsijm18v2UV/0RwuUL/mlO48IiNXjSfJ:AgA8CnA8+YPvZ4cPH7eHTRDYrWv+oziC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc43671e13611e3d |
|
VISUAL
aHash
|
00ffffffdfffc3ff |
|
VISUAL
dHash
|
d80261943c3c96e4 |
|
VISUAL
wHash
|
0080ffc39e9e80fe |
|
VISUAL
colorHash
|
07006000200 |
|
VISUAL
cropResistant
|
f2042094303c16e4,24d8d8c868d8d824,0080004000008000 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.