Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEB361B1B0445C375073C3E9E6716A1A62F1F34BCA8257D086F893782ED7CB6F906895 |
|
CONTENT
ssdeep
|
1536:OaSeZVEQHBXYMRi1go+t2JDomqoRIkIelLT3G4GOeNyOeOuBFV4sK4K5Ydne:Uer1cLrXGOeNyOeYsQSxe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec1c9c149407f37 |
|
VISUAL
aHash
|
7f87878787878787 |
|
VISUAL
dHash
|
c42f2f2f2f2d2d2f |
|
VISUAL
wHash
|
4787878787878787 |
|
VISUAL
colorHash
|
0e400038000 |
|
VISUAL
cropResistant
|
c42f2f2f2f2d2d2f,020302c5c08686c0,d6a5239c9cb59410,d6a5239c9cb59410 |
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 99 techniques to evade detection by security scanners and make reverse engineering more difficult.