Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113327570A2159C6FA19382D4F671DB1A2298C381D3064B64E7F810B7BACED64CC793ED |
|
CONTENT
ssdeep
|
192:1yqoQpuXeYUx9oKESP9HCbSCHRkHkSZw+GPbcPcFPW9Ax7TmyA:IUP5CeCHRkHkKwfPgUFhxfc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92366d39925ab279 |
|
VISUAL
aHash
|
00000e3e2e0c00ff |
|
VISUAL
dHash
|
bce5acecccfcd3dc |
|
VISUAL
wHash
|
40143e7e7e0e08ff |
|
VISUAL
colorHash
|
39000007000 |
|
VISUAL
cropResistant
|
3323dc323731618c,bce5acecccfcd3dc |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)