Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D83354335128652E0633C2C47576673EE2838A0ED6F70D4957FC8BAE17D1DA0996A22F |
|
CONTENT
ssdeep
|
384:otOvWDqRgQcIXJo8AwlKJqhBOMTEVmLsFEpMVcAY8vbsizjz5jScN91xQ3RQfh4/:otOL+jJ3wlJhBOMEmDaV/bsiNSc3/3S/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9115ef6a486a6b95 |
|
VISUAL
aHash
|
000e0e4e0e80ffff |
|
VISUAL
dHash
|
985cd89c989f0732 |
|
VISUAL
wHash
|
000e0e4e4ec0ffff |
|
VISUAL
colorHash
|
0320000800a |
|
VISUAL
cropResistant
|
0000000000000000,42f8e98080808010,b6b2e8e2aa33b3aa,d89c9898130fa233,93d818d89c989817 |
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 299 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)