Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16593C621A0522427412346C5FA73BB5E734B7288C48612F0E6F927A5EFDECE4349772E |
|
CONTENT
ssdeep
|
1536:Lthk9gjdgXDr40Q38edeCiEbQKwpBusTK4rAbJAGhibJ3f5S4nY9Kb+tlVlx:0tn40wicwGDn2Ghi5sdTJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9463679d6465934 |
|
VISUAL
aHash
|
00c3dbffcbc3c3c3 |
|
VISUAL
dHash
|
2b1796b03b1b1f1f |
|
VISUAL
wHash
|
00c3c3ffcbc383c3 |
|
VISUAL
colorHash
|
09e00000000 |
|
VISUAL
cropResistant
|
2717b2b21b1b1f1f,0028086070090004,401323cb8b3346d1,91939672d2d1d3d3,98fc38a8a9af9618 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.