Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18343E6206211B76A6C334F74F34A34BAC1DE9384F5E6782CB299935071D213ECB57DA9 |
|
CONTENT
ssdeep
|
1536:DmF0wA3ins+u5fo3E4tN4IScq8Z7U1c/jD7YJ7wpB9E:SLYJ7L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc323333cc |
|
VISUAL
aHash
|
ffe7c7c7c7ffffff |
|
VISUAL
dHash
|
5b1e8d8d0e160060 |
|
VISUAL
wHash
|
00c30303c3c3ff9f |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
5b1e8d8d0e160060,96f979f47833e4f4 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)