Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AF2A531A255AE3B44A7D2E5E3A5632B32D6938AC906034583FC83BD0FFBD84FD26554 |
|
CONTENT
ssdeep
|
768:axu1xyxparxLU//IppubqRPxA3w4A2C0BxtktJ/m+6oh3:axu1xyxJ//IpkxtktJ/mhA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f53c35a5a59585 |
|
VISUAL
aHash
|
03006c6e6e06072d |
|
VISUAL
dHash
|
c699c8ccd83c4ecd |
|
VISUAL
wHash
|
02007c6e6e0eff2f |
|
VISUAL
colorHash
|
38e01000000 |
|
VISUAL
cropResistant
|
c699c8ccd83c4ecd |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.