Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15323DB3204C42B6F928343C4A315A74BD39282C9E676C69AF5DF871F56C5D85C83BFA8 |
|
CONTENT
ssdeep
|
768:K/e5rG3ubMkQxPUfUSxCO/euI251K/1+Fuud4FKxF273:K/4i3ubMkQtUcSwO/Z5mUKKxF273 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebeacaeaca84 |
|
VISUAL
aHash
|
fd06060606fffffb |
|
VISUAL
dHash
|
71ccccecec3c1313 |
|
VISUAL
wHash
|
fd060606060efff9 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0021896161890162,96d6e8b294710f8e,e018182b13131313,ecccccecccececec,5ba7d6cec647c7d7 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)