Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11302C8B251D4253A03D641C5AB60BF9DF792435487A3261900FF968CA9DEFD3CF22982 |
|
CONTENT
ssdeep
|
96:ThuCMrA6M26hZoZx0GL/ZKbtkjwVyEBH7Fwbh888sdgqVx9jPPyxBe0N33sefYxh:suZoZx0GDZK2jsZmebsdg+pglfCmUZl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc7852526d65329a |
|
VISUAL
aHash
|
0000fffbffffffff |
|
VISUAL
dHash
|
2cb71016363e2626 |
|
VISUAL
wHash
|
0000cfd3ffc7c3c3 |
|
VISUAL
colorHash
|
0e0010001c0 |
|
VISUAL
cropResistant
|
361a361638162626,262620d4326d6d02 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.