Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170F3972302146A2E4437C3C075759B76D1BAE98FFAA70A414FDCC7B63AEAC50B81B55C |
|
CONTENT
ssdeep
|
1536:7wkraoUgQmTa3MZo+Hd1+GM0y1jjC3leXLxrywwBWhiRhXer+:FraoOQhz93WLxWJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c65be6bb2d839224 |
|
VISUAL
aHash
|
fd9c1c1811bff7f3 |
|
VISUAL
dHash
|
49b4bcf0632a2527 |
|
VISUAL
wHash
|
fd1c0c1c0193f3f3 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
49b4bcf0632a2527,0004416961601448,000002d8c8c0c400 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.