Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B79309A47999F5620AB342E600AF1103B37D192F140D5D606790FCAFB6ACC9EA077FD9 |
|
CONTENT
ssdeep
|
1536:f/aG9utT1vKLikhepgPcOnO9j7Nwz+P9ee/DjS31J:EvKd8gq7Nwzg9T+J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
980c61782e377c77 |
|
VISUAL
aHash
|
0818181d1dffffff |
|
VISUAL
dHash
|
73f1717939b1dcfb |
|
VISUAL
wHash
|
0008181c1ddfefff |
|
VISUAL
colorHash
|
0000000003a |
|
VISUAL
cropResistant
|
f0c8a2a2a2b6c0f0,73f1717939b1dcfb |
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 10 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)