Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC12B5B0D0249C2A0B1781E5F7BA771F76B1C308CB0605A4A6F4633F76CECA0D6665AD |
|
CONTENT
ssdeep
|
192:clRth4YnXLeRH0LKwiEdTQI7C3Bd5Fc61o8uDX:cXX4YXqRpwX9Ql3Bd5Fc18uDX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1c0fbc06f24d81f |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
dadbdadede9a1a1a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
edd9dcfcd0c0d0d0,f1e4cde6e464c6ce,12b364ccc1869e3e,e4e0e8f071c3d001 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)