Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E651E874D4844C733957C2B0ADE5990A3652CE9EC75703A24AF0025E96D2D9ECDDA1B8 |
|
CONTENT
ssdeep
|
48:lDAVVd6jPJYoD/k6jPBrRV9FP1A2AFP5fJtWtFPFdmn3onMcHHSywpLD3vFJu:K09TBn9YLfqtrAn3oYLLD3u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b35d4c73194c6659 |
|
VISUAL
aHash
|
00ffffffffe7ffff |
|
VISUAL
dHash
|
32042a2a484d300c |
|
VISUAL
wHash
|
00c0fcfc3c240018 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00322a2a4c4d320c,00100832b2320c10 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Português | Inglês | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)