Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194A3DC23422975274437C2C5347A5B3BD1A6DD8BFAE70A010EECCBFA6AF9C90745B119 |
|
CONTENT
ssdeep
|
1536:CTcPtpR4nXBKpSpFl26vXQnfSV4tFXrnq:XUMoQfQOe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8339fc46ee1c9163 |
|
VISUAL
aHash
|
ff000e0c7c7e00ff |
|
VISUAL
dHash
|
49cfd8e8ccec6c83 |
|
VISUAL
wHash
|
ff000e0c7c7e00ff |
|
VISUAL
colorHash
|
11006000000 |
|
VISUAL
cropResistant
|
b494e8cc829692f6,d500000000000000,48cfd8f8ccccec6d |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)