Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E6496F1E3826D3700A3A3E2DBB4AB1963A2E389CEC3468552E983794FD5D70FC95454 |
|
CONTENT
ssdeep
|
3072:nuIS0csWtkNHbZqaZWLZbNYwFVgdphHa01l/yfaeeL7:93csWglqaZWLZbNYwFVgdp// |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de07e938e526d630 |
|
VISUAL
aHash
|
003c3c3c1c3c00ff |
|
VISUAL
dHash
|
c27160617078f052 |
|
VISUAL
wHash
|
103c3c3c3c3c1cff |
|
VISUAL
colorHash
|
39000030000 |
|
VISUAL
cropResistant
|
66e4ec64b8b8e9aa,646624259ede7e7b,d69ebb8bbb2d9ee8,e0e51cafab55ac8d,d5cd320000000000,06160e7252509197,c27160617078f052 |
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 550 techniques to evade detection by security scanners and make reverse engineering more difficult.