Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168F2B3F2738464BF16034AC4B7367F6C70D365AFCF530402B2FA07A55686E92991D8AD |
|
CONTENT
ssdeep
|
384:8k7tfv5K1PICAUQrW6bjhFdM1sorQa2xEiPmWC8PP:e1ICAcah97RQ8P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb4b4b4a5a5a5b43 |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
e913122b80000000 |
|
VISUAL
wHash
|
00ffffff00000000 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
e913122b80000000,33cccc2050866961 |
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 440 techniques to evade detection by security scanners and make reverse engineering more difficult.