Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17772717923480D7E61E386E9F734FF3661F58286CA0B1658E0F9417A7BD9D45EC222E0 |
|
CONTENT
ssdeep
|
384:+wLVix01rmMeRpzqtLyQj+KtY6mjzOkr2pO1Ic55:+v0aQQjx6Oj55 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95ce336ef324c88c |
|
VISUAL
aHash
|
003cff0e0c00064e |
|
VISUAL
dHash
|
cce8b0f8bb748c98 |
|
VISUAL
wHash
|
663cff7e1d00064e |
|
VISUAL
colorHash
|
38203008000 |
|
VISUAL
cropResistant
|
cce8b0f8bb748c98 |
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.