Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191143AB2A170477D116FA3DDA7656B2471AB4387EBC907D4D3650B0C4ADACE2FC6B088 |
|
CONTENT
ssdeep
|
1536:AhfhaJ8ehfhhhfhH87Lmkoi9MSsQ52QyBaFcN3kN+dS46Hg74IA04r5Y3696ui4W:ferGaFcN46AC2SGaFcNzgv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e31c4a6b146b9c6b |
|
VISUAL
aHash
|
00c0ffe3e3e1e1e3 |
|
VISUAL
dHash
|
75531f8f8f0f0b0b |
|
VISUAL
wHash
|
0100ffe3e3e1e1e3 |
|
VISUAL
colorHash
|
07200018010 |
|
VISUAL
cropResistant
|
611707290061c000,5b1f8f8f0f0f0b0b,8c868687d6d83050,0181610b0b618101,0dd1f43515144b03,9bbfb7b636363335 |
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)