Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDE22EB0A256DD3B11FBC2C0AAB53B2F71E18244C957070043F883BE5BD6DAAED27555 |
|
CONTENT
ssdeep
|
768:HJYP8kzGJzsIz9qzxN/8BzKTzojztCzOi3zk2zCp3zCP2bXiBjyFuJWzB:606YzzB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36a943cd867c03b |
|
VISUAL
aHash
|
00047c6c2c222e7e |
|
VISUAL
dHash
|
23c9c9c9c9c4ccd4 |
|
VISUAL
wHash
|
800c7cec7c227e7e |
|
VISUAL
colorHash
|
31000208200 |
|
VISUAL
cropResistant
|
8000808080969796,23c9c9c9c9c4ccd4 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)