Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E372E771446C4C774A074ED8F6F36B1626E3422ED712090587FC47F27BF9C66EA2A1A8 |
|
CONTENT
ssdeep
|
192:DDFi1ZWF1ZWH0NFEuh38tNP0VuRpwhEcb+GI9rgsm0dT3nJYKyFUXsIlY:Da7k8tNP0VuRpwhE3B9rgsmWyaXsIlY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c44799309f47c7 |
|
VISUAL
aHash
|
ffffffcfc7ffff00 |
|
VISUAL
dHash
|
8016061e1e120082 |
|
VISUAL
wHash
|
7ec3d383838fcf00 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
801606161e161004,100c30b2b2040000,002080c840909060 |
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.