Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10563B0327240663B4127C299FAF35B8A1315CB48CE560E4C469CC37B7DEFE64E9162E9 |
|
CONTENT
ssdeep
|
1536:Y7u5H1zNM2HZWypjCy+qxuuuFJ4NwrmLr36O0DmW3V:ou7zNM2n+1q04V10lV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33c73762c5528 |
|
VISUAL
aHash
|
3c3c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b3eb |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
939bcec693131b92,e89e86c69a2aa6a6,c9c9e9e1c9c9b3eb,88759490114e19b9,d8f013481a0a1a0a |
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.
Pages with identical visual appearance (based on perceptual hash)