Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110026363D2149937073241CBBB7B376B79E28144CF420B6896F8D3AE17CAD51CA529CA |
|
CONTENT
ssdeep
|
192:S1hOY1AAzDx2VB8iI2dkEEZE0jeDxU7DP8F:GcVB1d2EEZpeDxeDP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a97982d692d783c3 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
37071717176b0ecf |
|
VISUAL
wHash
|
c381818181ffe76f |
|
VISUAL
colorHash
|
0f038000080 |
|
VISUAL
cropResistant
|
37071717176b0ecf,ea03071733330f37 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.