Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142D2A634A104693B41A383D1FBB26B7AA3EEC285DA03425953FC836D5FD2CD4DC2B665 |
|
CONTENT
ssdeep
|
384:d4xlDc0rh/mY9wSuKKMq79KxD7oFvkv2VfgvUc3JVYYhtDCZKDft:d4xlDcCdK9MoFceZgvUc3TV3F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2a50f97e0e0be0d |
|
VISUAL
aHash
|
f3e0e1e1e0e0c0c0 |
|
VISUAL
dHash
|
a667838389098909 |
|
VISUAL
wHash
|
f3f3e1e1e1e0c0e0 |
|
VISUAL
colorHash
|
17000000380 |
|
VISUAL
cropResistant
|
6361d5d4e9a93233,a667838389098909 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.