Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156C2A631F154763B119383CAB761E32FA2E2520EEA860915A2FC83ED47D7D59DF23129 |
|
CONTENT
ssdeep
|
384:PSkZ1DCrYD0q+2f5VSY4uVFdw3MA5FrJg+GteIYsOy2+y9BH4cCUIe:PSkZ1DfWwM3dB17sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c332bc6dc54292bb |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccdcc8c8c8e0c000 |
|
VISUAL
wHash
|
00006e7c7830ffff |
|
VISUAL
colorHash
|
3a000000038 |
|
VISUAL
cropResistant
|
0080800458988000,ccd2ccc8c4c8e8c0 |
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.