Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B52A633E500DD2A4E9B91CCF5C09A89514EC349FB7248C6B2A491BF7BD4DF029A836D |
|
CONTENT
ssdeep
|
192:t53JpUzYc3cC3KD1XVXflhp4V9T6btLxRKlL+yDMcnthWeNWbmbfMmUU8VCo28:xc3cC3KD1lXf096FKbRbfMmUFCo28 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b320cce3ccc833f6 |
|
VISUAL
aHash
|
ffe7c747c7c7ffff |
|
VISUAL
dHash
|
804d9d9d8d8d0c62 |
|
VISUAL
wHash
|
7f0707070747ff80 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
804d9d9d8d8d0c62,def871dee969feff |
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.