Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158D2B93160406E3F62DB92C9B361A32EB1E3424ED746095996FD83AD4BF7DA0DE33116 |
|
CONTENT
ssdeep
|
384:IQy5N0T7tTyDGgo8mUMtSKau/LvCRF1B3IYsOy2+y9BH4cCUIe:IQy5N0Tnn4zIYT7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d26dfc12a93892cd |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccc4d0c8cc3c00 |
|
VISUAL
wHash
|
00fe7800204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccc4c0d8c8cc3c |
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.