Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17012203070123C6B52378AD1F4A1CF0962179339D7520E28B7E51667AFCDCE959B27B8 |
|
CONTENT
ssdeep
|
192:mNhb4gSazFQYntZVNkn+7xZvErEFZ5LfRCLfRSLfRiLfRZMKNqyTzhBeC3D:wxCerxFZ5LfRCLfRSLfRiLfRZNtTzhBV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7a2dd08a3a222dd |
|
VISUAL
aHash
|
ffffe7e70000ffff |
|
VISUAL
dHash
|
0800080d31410000 |
|
VISUAL
wHash
|
ffffe7000000cece |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0800080d31410000,0070f0f0f0713000,0000101010100000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.