Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AD2A732A0003B3F1297C3D9BB51F76EE3D39249EB45091962F9835E4BD7E50E92352A |
|
CONTENT
ssdeep
|
768:U6Sky5NbOBVl5iBE8l0OjCikN7sOy2+y9BH4cLIe:b7i+qGnN7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f4388d6c94b2 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
88cccccadc0c8200 |
|
VISUAL
wHash
|
00ec7c700604ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,94c8ccc8ca0c2c0c |
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.