Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5E2E6329114E93F1AA772D1E7B4A35A63C98389CE830B1641FD8B4D5FEBC60ED17096 |
|
CONTENT
ssdeep
|
384:/i3dIISYIIIII9FlBOtXJmUW5w5n25XCjtMXII3A6CiHac5GzpW:III1IIIII6cw1GDNAjpY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3731c1c3963c6 |
|
VISUAL
aHash
|
00e3ffdf7f181818 |
|
VISUAL
dHash
|
87cfcf93e5f370f0 |
|
VISUAL
wHash
|
00e1ffdf7f181818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d988c0c,0000607060000000,87cfcf93e5f370f0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)