Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFD25472A184273B42A7D2C8B321671EB3D3838EEB9A591693FD439D4BE7E10CD13516 |
|
CONTENT
ssdeep
|
768:Pe/G6uwj40oeE+m113b47sOy2+y9BH4crIe:5k4bkOS7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c272bc3ac969c5c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c0cc4c8c9cdef00 |
|
VISUAL
wHash
|
00c4f0603507ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,cc0cccc0c8cdcdcf |
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.