Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110E2B4319088693F1AA773C1F7B1E35BA28543CDE943476A42FDC74D0BDAC90ED168A9 |
|
CONTENT
ssdeep
|
384:YdfIIViXIIIII9NlBVxt4eX1/lXcY2e4hOy9XnHHfbpW:GfIIKIIIII7281/tx2e4hOya |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c29e396 |
|
VISUAL
aHash
|
00e1e7ff7f381818 |
|
VISUAL
dHash
|
c7cfcdd3e5e3f070 |
|
VISUAL
wHash
|
00e1e7ff7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000606868000000,c7cfcdd3e5e3f070 |
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)