Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13933D610A201727B5C330F74B38A30A6C1DE93C9F5E2A92EB2598355F4D6135C78BDBA |
|
CONTENT
ssdeep
|
1536:kmlVnA0wA3ins+LktTcRtUVnDUVnIfo3E4t6UVnDUVnN5HSFq8Z7U1c/0IIBo:7VnUktTUUVnDUVnQUVnDUVnqn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1619a9a269e9e65 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
5196968686000660 |
|
VISUAL
wHash
|
00c3c3c3c0fcf090 |
|
VISUAL
colorHash
|
0e209000080 |
|
VISUAL
cropResistant
|
5196968686000660,b2e8f0b20b879494 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)