Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101D28872A1506E3701A7C1C67362672B72E7434FEB460512E2FD87AD07E7D14EA2722E |
|
CONTENT
ssdeep
|
768:AeQzEO75unHZMB5s52sMetl7sOy2+y9BH4crIe:MENZM452mtl7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b434ad35edc4 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d4ccc4c8c08c8c00 |
|
VISUAL
wHash
|
067c74206044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccc4c0c8c08c8c |
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.