Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14454CE234219792A4437C3D034699B7BD1A6DE8BFAA70A404EECC7F76AFDC50741A21D |
|
CONTENT
ssdeep
|
1536:SZzUgQmTa3MZo+Hd1+28BBd+Smfu4/ZT4oU5y9d2W6CKIZamnKIwmvSpO5CmBPRG:UzOQpkfQjAW6CKLA4Y9c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c1f654299db90bc |
|
VISUAL
aHash
|
00809c1c9c1cffe7 |
|
VISUAL
dHash
|
4b26357135355196 |
|
VISUAL
wHash
|
80809c9c9c9cffe7 |
|
VISUAL
colorHash
|
07181000000 |
|
VISUAL
cropResistant
|
4b26357135355196 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)