Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7D2897271207A3701D3D1C676616B2AA3F3434FE6850552A2FD83AD1BE7D24DF2721A |
|
CONTENT
ssdeep
|
768:NeynwxBz5tcA7tl5DvcrJ8R77sOy2+y9BH4crIe:xzA7r5Dvo8R77sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d205b434ad3ce5a7 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d4ccccc0c88c8c00 |
|
VISUAL
wHash
|
467c64304044ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc0c8d88c8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)