Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BE2B6319009753F16E7B3D1E7B5A39AA29683CDE943031682FD874C1BDFD90DD2688A |
|
CONTENT
ssdeep
|
384:7bR2IIKv9mIIIII92lBrm0uUduB4Sii8h3JZkW6ByOc7UEqG5uOpW:MIIXIIIIIE+B8JZkW0yxW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c39e386 |
|
VISUAL
aHash
|
00e1e7ff7f381818 |
|
VISUAL
dHash
|
c7c7cddbe5e3f070 |
|
VISUAL
wHash
|
00e1e7ff7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d988c8c,0000616961000000,c7c7cddbe5e3f070 |
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)