Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4A3A711F24D2D7EF5078B9CF30AF7B67179C094ED2387246BA602321746E5F98B2A58 |
|
CONTENT
ssdeep
|
768:jXB8m4XllVuSS1SWuS7uiPFIXdaAOcatEaqLay0GaGsaTyaySaHbeyat+aqlr1dF:Xlln12HntdX6kHkdtQfyl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccb133ec99b1e4a2 |
|
VISUAL
aHash
|
c300001818180010 |
|
VISUAL
dHash
|
a240103232340810 |
|
VISUAL
wHash
|
ff9938181818e73e |
|
VISUAL
colorHash
|
38002c00000 |
|
VISUAL
cropResistant
|
a240103232340810 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.