Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154915570519A8D775587C3D8A7F08F1B72C5C342CA07274656E413BA4BC3EC4EEA56C8 |
|
CONTENT
ssdeep
|
96:nuXxfbEJT6BNS3ZNcZ4Zkb6Excn9nJ8qJsj:CiJT6aGRAO1j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c8f0f8ff0f821c2 |
|
VISUAL
aHash
|
1f1f0fcfdf1f1f00 |
|
VISUAL
dHash
|
7074bcbcbcb6b070 |
|
VISUAL
wHash
|
1f1f04cfde1f1e00 |
|
VISUAL
colorHash
|
06c00000040 |
|
VISUAL
cropResistant
|
a565667271a8e4fa,d058f8fcd8ecc0c0,cacedadbc61e9a0e,3d8cc6a295373737 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.