Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9E2B560331009AE55834BF47265EB7EE2ECD78DCA5BC969F3EC82262BCEC55CE41560 |
|
CONTENT
ssdeep
|
768:a/oULKxkftltOt2tDt0tmt7tXtwtst5tutXBgoospkhWNaLVvVivyrcvikXiECEq:a/o1EspyWN0VvVaykTjHdNbL6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0e22d0d1d1cc7d5 |
|
VISUAL
aHash
|
81e0e4c6c8600200 |
|
VISUAL
dHash
|
33898d9c90899696 |
|
VISUAL
wHash
|
81f5efeeeee04200 |
|
VISUAL
colorHash
|
30001030000 |
|
VISUAL
cropResistant
|
4657515919594b46,eb6715175753696b,33898d9c90899696 |
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)