Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11273EA9A6455602A073340E394BB2B89B7791C2FF92905D1A4B8C7F573EC8F1316AF4B |
|
CONTENT
ssdeep
|
768:d5yWuPWy/L1u5/u15/8n+sLv9CN6ZDSI5M6zqFvSj6BzWHlFFqX8U95Pm+5Mau6J:diBoyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b19bd6646464ce9a |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
969e9e9696969696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
1ec00600000 |
|
VISUAL
cropResistant
|
0202020202020202,a0a0a0a0a0a0a0a1,fef9f5e1f1a7e4e0,3430383cbcbc9c0d,0a9a9acc39994961 |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.