Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D083C6F8537287F69183DBF4B662FB6B2198531CD663E60957EC41663BCBC848C047A8 |
|
CONTENT
ssdeep
|
1536:noqfQfGfqVZMH9UZcMY0V+EEQjtQa5WzLZa/cfGfqVZMH9UZcMY0V+EEQjtQa5Ws:XQfGfqV+H9UWMY0V+EEQjtQa5WzLZa/e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89d85a689c9ecbca |
|
VISUAL
aHash
|
7c187e7f42000000 |
|
VISUAL
dHash
|
f0b2e8aab2928810 |
|
VISUAL
wHash
|
fe3c7e7f5b1a0000 |
|
VISUAL
colorHash
|
30400030000 |
|
VISUAL
cropResistant
|
e0e0c0e8eccccccc,6a6c176766161464,f0b2e8aab2928810 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)