Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174C28372A1102B3B0297C3D97751BB1FA2E3924CEB46090A53FC835D5BE7E51DE2352A |
|
CONTENT
ssdeep
|
768:pS5y5NRIIH+WUBJrCYe+g/7sOy2+y9BH4crIe:BzeJ2Yk7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bc3c9c29e3a3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
ccc8c8c0cccfc700 |
|
VISUAL
wHash
|
20f460780423ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,ccc8c8c8c0cccfc7 |
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.