Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196520F3870012C6745339BC1F4D18F08B193B73AC6494968F3FA17A6ABC6CE95979B78 |
|
CONTENT
ssdeep
|
384:sKz4IkyLFz5LtREqLtRlDLtRGqLtRwLITzhBeC3D:nz4IkyLFz5LtuqLtXDLtcqLtmLITzhBV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8d0b233371d1d3d |
|
VISUAL
aHash
|
7e7e181800000000 |
|
VISUAL
dHash
|
dcd430b000100000 |
|
VISUAL
wHash
|
ffff3c3c00000000 |
|
VISUAL
colorHash
|
38200208001 |
|
VISUAL
cropResistant
|
39b1dddeca4a4382,18d9cb34748c8e98,a200e292938a8080,8080a44c5c8000a2,dcd430b000100000 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.