Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186F283B0E4A0897A065342D0F7F7E759026DE2C6DF1008F993ED079B97A6E4CA75F209 |
|
CONTENT
ssdeep
|
384:qgHQQ9auxpUj2zXIRckGlXzGNXnQzIES2vdA7yIiTgJO9EBLthBygF:HHQQ9auxp4cXIR7ed0+LWthQa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c6c631d16cc798 |
|
VISUAL
aHash
|
ffcfffcfcfc3cbcf |
|
VISUAL
dHash
|
9a9bb099999e9e98 |
|
VISUAL
wHash
|
5e031f8f8f83838e |
|
VISUAL
colorHash
|
06602000002 |
|
VISUAL
cropResistant
|
9a9bb099999e9e98,e0a480c290aca0a0 |
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)