Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A938861F562643532AFD2CFE12E1B0D6282E78AC7824BD953F4429CD6F5C907FD2298 |
|
CONTENT
ssdeep
|
384:8/zWQ+N284mKGZVsVNtgyh6bj9uxFWLk8C6UsZMYChwSdFm/+mGfpJ4CqATQJFYz:OVGZ+Z+E/WL+hYqw+pwK4OzjFlphirw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93936c6c656c6cc5 |
|
VISUAL
aHash
|
000e3e2e7e0c0004 |
|
VISUAL
dHash
|
cc5cd8d8d818c0cc |
|
VISUAL
wHash
|
620e7e6e7e0e007e |
|
VISUAL
colorHash
|
30000207000 |
|
VISUAL
cropResistant
|
c6e56e3a2ec4868e,cc5cd8d8d818c0cc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.