Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112D2B836A0007A3B41E782E97761E32EA2E3928EE756051592FD83AD4BE7D50CF33516 |
|
CONTENT
ssdeep
|
768:wSby5NTul5+dvamtwEf57sOy2+y9BH4crIe:JE7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d26cfc32ed3890cc |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
9cccc4d8e8ccdc00 |
|
VISUAL
wHash
|
00f67800206effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
5255658d8d555556,1080800458988000,94ccc4d8c8e9ccdc |
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.