Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBC2967251402B3B019783CAB361B72EA3E7C289DB46091657FD935E4BE3E50DE2352B |
|
CONTENT
ssdeep
|
768:eSCy5NPa+ar+g2FKx5WDt7sOy2+y9BH4c1Ie:A+akOWh7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad428d6c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c2f0f9f9b500 |
|
VISUAL
wHash
|
002f38081c1dffff |
|
VISUAL
colorHash
|
11010000c00 |
|
VISUAL
cropResistant
|
2080802058d08000,1c594af0f0f9fd35 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)