Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B322023F200CC2A499B56DCF6C09A49411ED346FB3249CA71A481FF7BD4DF069A979D |
|
CONTENT
ssdeep
|
192:DS3JlYcicOchJFd8GGSmx+McnthWeNWbiNfMmUU8VComG:jcicOchJFKBafMmUFComG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3333326cccccccc |
|
VISUAL
aHash
|
e7c3e7ffffffffff |
|
VISUAL
dHash
|
4d4d4d320c000000 |
|
VISUAL
wHash
|
2424243c00000000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
4d4d4d320c000000,0c22216a6af2336c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)