Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B25219B62210132E59478A99FBA5FB59810FD29BD66FD00CFBDD038417C7C84FD22598 |
|
CONTENT
ssdeep
|
192:tstwV6PlPcb44gBcsetuyP2IRPVjGqiBSBIRxd5MRj9:tYdEYBKtu1CVyIIRH5Qj9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92a56d7a92d296ca |
|
VISUAL
aHash
|
03032f6f0f0e0000 |
|
VISUAL
dHash
|
7672ccccccacb38b |
|
VISUAL
wHash
|
ff0b3f6f0f0f0001 |
|
VISUAL
colorHash
|
31c00008002 |
|
VISUAL
cropResistant
|
8e8c92b032328e8e,7672ccccccacb38b |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)