Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E523D831088D3F2B11D382C493215A4BD3AA8149E2668659F0FA839716C9DDDDD7FF9C |
|
CONTENT
ssdeep
|
768:MgSM3m7ootccOSVhQpqU+BbB1oT6nyqWCUMVLR+7Ru37f2pZbftpPVnU5qRhrMhM:MgSM3m7VtccOEhQp0BbB1sAyqWCUMVFS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946be896bbc88794 |
|
VISUAL
aHash
|
ff00000006361e1e |
|
VISUAL
dHash
|
7170c4d86ccca4ec |
|
VISUAL
wHash
|
ff10300036767e7e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0001416363490002,84c4d0b4881e1c8c,72c496b22949696b,c3c03030f0183928,f9ecda1a3ebef6c7,33e0d0ec6ccca4cc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.