Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102824471A095373F427756CBB0C36F40E0B1C946C69A2895B27896DD0FFAC68A5CA70F |
|
CONTENT
ssdeep
|
384:vKu0MZV5aW7OaGP2l9OtgKn8FgKqUgc8D+QSHpN6APnd8ng:5aW7OaGCOKKncgKec8pSHpNpPnOg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b21256f5dcdc1c0d |
|
VISUAL
aHash
|
e42501d9ffe7f7ff |
|
VISUAL
dHash
|
2c4d69aa524c0c10 |
|
VISUAL
wHash
|
e60001c9ebe7ff81 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
2c4d69aa524c0c10 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)