Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A4256A29400541B111641CA7657EF4B34C3E2458E7A0852A79543AB7FEF7F0ACFF39A |
|
CONTENT
ssdeep
|
192:QS8StSiS7oiwQcYIHgT8aEJ9omlu3sIbyxKDW6gtz3pj9nYj2a:QBWSiS7oiwQ8tDwJe3pj9YjB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0306547cf1f135b |
|
VISUAL
aHash
|
00c3c3dfffe7ffff |
|
VISUAL
dHash
|
961e9ebe320f0c00 |
|
VISUAL
wHash
|
00c0c3c30303273f |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
961e9ebe320f0c00,171b5b4646c2a484,0000343430303410,2c1ac3d7d42cbb80 |
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.