Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC23B833B241A52322B786CBF1772D0D5150824AD3166781EBFE823CB6E6DB1B57079E |
|
CONTENT
ssdeep
|
768:7RTn5SF3WHW2QL029yd0dYidY90g7cAQ/Jq3:7RTn5smHZQV4d0hocAQ/J2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b996163d161f1665 |
|
VISUAL
aHash
|
00ffffffc3c3c3c3 |
|
VISUAL
dHash
|
8c0e0f0f0f1b0b1b |
|
VISUAL
wHash
|
00ffe7c381c3c3c3 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0f0f0f0f0f1b0b1b,b8101ab20dcece6d,c666a656599e9ad7,0b04349c9c141403,76969e8c88aeaead,78989c949c94b45c |
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 942 techniques to evade detection by security scanners and make reverse engineering more difficult.