Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0C2A63170006A3B419792C9B7A1A32FA2A7938EE746091553FD83AD4FF3D94DE3351A |
|
CONTENT
ssdeep
|
768:qSby5N2+AB0oF95fzw87sOy2+y9BH4c1Ie:UA5E87sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc12ed1c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cccccc8c8dc3c00 |
|
VISUAL
wHash
|
00fe6a00204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d4d4d715596,1080800458988000,94ccccc0c8c9dc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.