Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C22307471911D77118BC2B2B2E5AF5FA59DC706CF079A89E3F8E34A1BDEC148E42260 |
|
CONTENT
ssdeep
|
96:ToeW93egHSsDRcwC51CCS/DgwgaU6UwUunuTHxHc7zD0PYsDchLp+eohbnk7kUBP:A9OgHvY1CCSlwdcdswhNxeboHUzgUe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b326cccccccc6633 |
|
VISUAL
aHash
|
e7e7e7e7e7e7ffff |
|
VISUAL
dHash
|
284d4d4c4d4c3008 |
|
VISUAL
wHash
|
e3e3c3c3e0e0f0f0 |
|
VISUAL
colorHash
|
07000038400 |
|
VISUAL
cropResistant
|
284d4d4c4d4c3008,7171797179797971 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.