Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160634BE0E644FD2345F34483606FA68AB33A081BF90D4850729ACAC9F7EA97714777E1 |
|
CONTENT
ssdeep
|
768:dEQT0TQH7YFc5UcZg9RGMujcSVszLdVzc+b42NB2jIGrTnzq8QE12OlDlGYQZ/y:dE8ZEGMujcSVsz3zQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c747d29771383c2c |
|
VISUAL
aHash
|
3c7c0000383e0cff |
|
VISUAL
dHash
|
ccc0e4cfc0e8f8c8 |
|
VISUAL
wHash
|
7c7e00003c7e1cff |
|
VISUAL
colorHash
|
38001000400 |
|
VISUAL
cropResistant
|
8382860686444464,89e058cce6d2cb99,e8cc84a6a6a6a69e,a91616d9c565a9a8,ccc0e4cfc0e8f8c8 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.