Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100D34432A466A43F425AB1C4E1706F4A7287E346CA874BD1A3F4936E2FD9D90DC1739C |
|
CONTENT
ssdeep
|
1536:Z3Zzmfs5YVe6wOpa6w7+dlnbWsSlFwcTBVRv6u6Q5USyinibcTvr/Q4Ce2UnvWDQ:0dQdzeZ0aEIFfN+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad165b69d2690e66 |
|
VISUAL
aHash
|
bd0713f7ff81c1ff |
|
VISUAL
dHash
|
592d274614121335 |
|
VISUAL
wHash
|
000713b7ff83c19f |
|
VISUAL
colorHash
|
07040012000 |
|
VISUAL
cropResistant
|
592d274614121335 |
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 3417 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)