Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126420F62A445363707D753CEA930B718E3E3809ACB271A4623F58B0F9FEBD458D5246E |
|
CONTENT
ssdeep
|
96:v5LibGkDXvW30BbcBdOsKXKfbdtagCK9y4BN504DJP4T4likBw0AYIyp+qSAYIwa:vUbdXu30bsdOy73jwyJp+qwpgf40fMU1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6e31998664eb331 |
|
VISUAL
aHash
|
ffffe7e7e7ff0000 |
|
VISUAL
dHash
|
8c0c4c4d4d0c7010 |
|
VISUAL
wHash
|
00ffe7e7e7e70000 |
|
VISUAL
colorHash
|
17001000280 |
|
VISUAL
cropResistant
|
4c2d4c4c4d4d4c20,0000148c88868000,743c86c6a2816953,1000b03069703010 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)