Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124C1ED710169AD37A1A7D2D9ABF1636F71E19286CE87121597FC83AC4FCAC85FC17002 |
|
CONTENT
ssdeep
|
96:T561pGxarxSZSZSTiIjjcx1H0ePMEjNe1TZDVCV1eKfZ:6MNIIudHbMEjI3DVxC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94896bb4f46969b4 |
|
VISUAL
aHash
|
471f1f7f66060000 |
|
VISUAL
dHash
|
befcf8caccec3c18 |
|
VISUAL
wHash
|
4f1f1f7f2f360200 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
feffb5968697fbff,befcf8caccec3c18 |
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.