Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFF2D932D056B83F06ABA2D1A7B9A35E22D54389DD43072542FD878D5FEFCD0ED024A9 |
|
CONTENT
ssdeep
|
384:mToII0RIIIII9alB9Y7OIH+JTLdLJSjdXH5WngBt9/1gjHlpW:koIIeIIIIIr1ETLtKRHHDqzy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e37d1c1869c692 |
|
VISUAL
aHash
|
00e3e7fb3f3c1818 |
|
VISUAL
dHash
|
87cfcfcbf5e4f0f0 |
|
VISUAL
wHash
|
00e1e7ff7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c888c0c,0002606068400000,87cfcfcbf5e4f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)