Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D323033A600DD2A4D9B56C8F2C49589516EC345FB3148CAB1A091FF3BC5CF069A97AE |
|
CONTENT
ssdeep
|
192:GcK3JYdL9/pexWWxgexcMcnthWeNWbAsVfMmUU8VCoxu:GoL9xexUsVfMmUFCo4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333d8cc740f8ce8 |
|
VISUAL
aHash
|
c7070707e7ffffff |
|
VISUAL
dHash
|
9cce4c4d1d400800 |
|
VISUAL
wHash
|
4707070704fcf1f0 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
9cce4c4d1d400800,621c627248a6fa02 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.