Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7639632A24658039097D2D5F2719B1F22868389C7174FA163F857BD7ECACF5AE122DC |
|
CONTENT
ssdeep
|
1536:9ErMUSOUbJo+buXIu3RbusupuXuouqRPozXjZcWHf+mkR2GRleVO+eH99hGbzSG+:arM8jhi3EeT6mkR2k8VleH99hG3SGPu5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3346c3269cec99a |
|
VISUAL
aHash
|
00007c7c0c7c3c38 |
|
VISUAL
dHash
|
ceccd8d8d8d8d0d2 |
|
VISUAL
wHash
|
00427e7e4e7c7c78 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
ceccd8d8d8d8d0d2,432c8c9d8c8c4d57,2bebc9f92d2d250d |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.