Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E234B726332B4B843DB92DDF73C2E46B2D2948DE9C74590B5C95A8D23C3C816193BB4 |
|
CONTENT
ssdeep
|
768:a/+A+EsZx8/G8EHd9RF4QlDatyYM7BytyPM7BCwZUcix+y9dQpUDF1E56ITmHDLI:a/+A+EsZ/8EHdPOQlDatyYM7BytyPM7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb916c6cc591d5c4 |
|
VISUAL
aHash
|
f3818d8d81818181 |
|
VISUAL
dHash
|
23595d5d59415951 |
|
VISUAL
wHash
|
ff8d8f8fa9818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
23595d5d59415951,fef9f1e1f1e2e4e1,343038383cbc9889,23d8dadac8a18991 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)