Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100234A726332B87883DB92DEF7382E42B2D29489F8C74554B5C956CD23C3C916197BB4 |
|
CONTENT
ssdeep
|
768:aC+EsZx8/G8XtRF4RDat2MmBItPMmBWUcix+y9dQpUDF1E56ITmHDLBABW8KPqD1:aC+EsZ/8XfORDat2MmBItPMmBWUXx+y4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3a42c0c3c7333b |
|
VISUAL
aHash
|
a08f87bf8f9fffff |
|
VISUAL
dHash
|
45393b6131372635 |
|
VISUAL
wHash
|
809f879f81979791 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
45393b6131372635 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.