Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CB2B836A100AA37419382D9B7712B2E92E7834BDB820B1552FD83BD17E7D54DF73829 |
|
CONTENT
ssdeep
|
384:+xQepxBiIRxUaCkcvad1nUn3TgWtnKjzIOUPw2CrnXIYsOy2+y9BH4cUUIe:EQepxmAUTgWs3Xb7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9c29ada8 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
38ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30006c45ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,38ccc4c8c8cd8d83 |
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.