Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1969384A523410B2D989382D1FBA47B7DD169838ACA535C5EF3FD4063AB82D1CED573A0 |
|
CONTENT
ssdeep
|
768:K8caxsVRnRXooHA/DfezT1TFBC+ktGm4P/DMYTK0fgQogQ6gX8gL6K8KWv1fuedU:K8caqWOzT1hhTX2264Ofpmk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8203fd3c36f45565 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
9cc1c5dddff00f8c |
|
VISUAL
wHash
|
0020700107ffffff |
|
VISUAL
colorHash
|
16c02000000 |
|
VISUAL
cropResistant
|
d0f0201e8e4c8e8c,94d9c1c1ddcfdff0 |
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 96 techniques to evade detection by security scanners and make reverse engineering more difficult.