Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BE2B4319029B93F0AA773D5EBB4A31E62C98389CA83071641FE874D4FEBC90ED17195 |
|
CONTENT
ssdeep
|
384:/DPqIIS3IIIII9WlBOK4JEfW5wun25XCjvB1X3I3h6PigacJIwpW:eIIsIIIIIucwqGgFmhku1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37d1e1839c6c6 |
|
VISUAL
aHash
|
00e3f7eb7f3c1818 |
|
VISUAL
dHash
|
87cfcf9be5e1f0f0 |
|
VISUAL
wHash
|
00e3f7cf7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0000e0d440000000,87cfcf9be5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)