Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9922131A501A67312DB92CAA632EB9F73D183C4DA431B4927FC939C9FD6C59CD62123 |
|
CONTENT
ssdeep
|
384:DvGuA4J0rhSkkReIdiMRJYaBBa0FqnaBcvSrhwkkeNYZa91DI4px/p0XohOaFpW:DcrhSkkReIfRJYaBBa2rhwkkeNca91Ep |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eced1332463b136c |
|
VISUAL
aHash
|
00fbfbfbf3000020 |
|
VISUAL
dHash
|
9636362727864b60 |
|
VISUAL
wHash
|
00fbfbfbf700003c |
|
VISUAL
colorHash
|
0b0000001c0 |
|
VISUAL
cropResistant
|
02169e8e8c94141c,74747474dadad8da,92b2b292b2924949,9636362727864b60 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)