Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17713DD20A845DD2701DF68C9A1335A2A22F69345CA230688FEF5C3F95BEFC6DDA37151 |
|
CONTENT
ssdeep
|
384:wSX1G5sJO5xVZjqTSMggeo4nKkoDbPMOyiDwPLajDxTyjDdY3jD5vf3VjhroUa80:wQIsIx/j9bo4mP9TYZYzFf34Uf7+F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c24e98bd19b68d9c |
|
VISUAL
aHash
|
3d7070202163e77f |
|
VISUAL
dHash
|
e3e1e1cfc3c6cdd9 |
|
VISUAL
wHash
|
3d7070202363e77f |
|
VISUAL
colorHash
|
0f206000000 |
|
VISUAL
cropResistant
|
e3e1e1cfc3c6cdd9,7ef3a3f153b363c7,276beee5e1696539,7e7e666f6d1dc1f9,83030113174f2d39,6133596d767b753c |
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 81 techniques to evade detection by security scanners and make reverse engineering more difficult.