Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11932DB7072901ABB91CBD2E1B275AF5AB2C8CB4BCA57D701A3FA83845FC7C91DC48254 |
|
CONTENT
ssdeep
|
192:XZCMGnSPaLKGHnC/MnwswaocZDJ3K5uxTRWAwzDfS:JC1+QHnCEnwIZ5fJRWAwzDq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3333333c9cc6664 |
|
VISUAL
aHash
|
e7e7e7ffe7e7ffff |
|
VISUAL
dHash
|
4d4d4d324c4d320a |
|
VISUAL
wHash
|
0707272fc0c0ecfc |
|
VISUAL
colorHash
|
07200000030 |
|
VISUAL
cropResistant
|
4d4d4d324c4d320a,33f4d989f9e5cdd9 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)