Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164856E21F7511002F7AAD6C4FAA7CB9833039B92CA814A7DA5D4C733F4DC16264E57AE |
|
CONTENT
ssdeep
|
3072:/M8+f0RVYzk2nBiY720CzxxNeVt666666uCUhe3GKPE2:UQ0nMYa3eVt666666uC2e3ZPE2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58b319b20718b75 |
|
VISUAL
aHash
|
efe7c3c3e7ffc3c3 |
|
VISUAL
dHash
|
968e8e8e8e4c8e96 |
|
VISUAL
wHash
|
c3c3c3c3c3e7c2c2 |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
968e8e8e8e4c8e96,5256562b0b565657,91c9ad52d263abad |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.