Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDF32DB43694F4960AB747E7806F1002B3385D3B140D596063A5ECEE727999EA0F3FDA |
|
CONTENT
ssdeep
|
1536:/KX3G/5TGdiOZra6Ih6PgRv78x2t8qL128zFHyCRFX6CanUrz9sPaK4us93av+2g:/KXkOZrSQ4Rz88fWna93/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999999cc66cc66cc |
|
VISUAL
aHash
|
1818180000101818 |
|
VISUAL
dHash
|
b2b2320c0032b2b2 |
|
VISUAL
wHash
|
1818180000183838 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
e0f0f83c0eb696f9,a280408696068082,b2b2320c0032b2b2 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.