Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167E2C832C10A6D3F05A763D1E776A35A63D54389DA43071942FC838C5FDEC94ED178A9 |
|
CONTENT
ssdeep
|
384:3qIIsjIIIII9UlBqa8GH+JTFrYzkvYUcRQjAQPcK+DHy0HihYpW:6II0IIIIIgETBiKhPl+Oxj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c0c9931e796 |
|
VISUAL
aHash
|
00e1e7ef7f381818 |
|
VISUAL
dHash
|
8787cfdbe5e1f0f0 |
|
VISUAL
wHash
|
00e1e7ef7f391818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c988c8c,0000616969000000,8787cfdbe5e1f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)