Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177B35DB43618F56659F343A360AF2107B339552B980E4C20B354ECAD72ADC9BA077FD9 |
|
CONTENT
ssdeep
|
1536:lgT3+Qe+ze7MXPvbpWpFo2h20VTgHd8tVPTMnEXCd0uq+wSRKF:li/zeoXspMug98nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e6293939ce86c6 |
|
VISUAL
aHash
|
8160766646061818 |
|
VISUAL
dHash
|
33ccc4cc9c2c32b0 |
|
VISUAL
wHash
|
ff20766646e79818 |
|
VISUAL
colorHash
|
38200008c00 |
|
VISUAL
cropResistant
|
33ccc4cc9c2c32b0 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.