Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5E262705021AA3F028392C1A7746B1FB3D28249DB77034AA7F9D34E5FDBD52CD26A64 |
|
CONTENT
ssdeep
|
768:SA4444Aa5qJAs6s6v2X0Q9n8vr5nrAs6cn64YGFH+K0Pm:n4444AacmXXv2X0Q9n8vr5sXcn9YBm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac86f992f2c9c2e8 |
|
VISUAL
aHash
|
ff030303070181db |
|
VISUAL
dHash
|
37f7e7f7ffff3333 |
|
VISUAL
wHash
|
ff033303070383ff |
|
VISUAL
colorHash
|
03002000180 |
|
VISUAL
cropResistant
|
2237e7f7f7ffff73,333333333333b383,37e7d7ffffff3333 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.