Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBE20BB4633043FA058323F0E6637E6966BDE6D5D45B8799F2FC80252FD9C89C841AB4 |
|
CONTENT
ssdeep
|
768:B98bX86NE9LE9ybxRYjo69xKRj4jQZ/eAe06rslS8NbLL:B98ANGUxRYjo69xKRj4MZ/erV8NbLL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9dceda35607061b5 |
|
VISUAL
aHash
|
003c3c002a0a4a00 |
|
VISUAL
dHash
|
96697195da5a9e9a |
|
VISUAL
wHash
|
52ff3c186aaacf40 |
|
VISUAL
colorHash
|
38002000030 |
|
VISUAL
cropResistant
|
1b4fced9518e8f0f,96697195da5a9e9a |
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 5610 techniques to evade detection by security scanners and make reverse engineering more difficult.