Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9D2B332A000363F12A7C3C97751F72EA3E3964AD746191693F9839D0BD7E94DE2391A |
|
CONTENT
ssdeep
|
768:FSFy5NxoUL7KaguZlU7sOy2+y9BH4crIe:CUL7KMzU7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c353fc3a9d29c1c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1808c4c8cc4d8f00 |
|
VISUAL
wHash
|
00ecf8003c05ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,9408c4c0c8cccd8f |
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.