Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13562E8253815EC2581FB79DD79F25E6E40F9D301E912168EE99AC3F80BA2C2DCB33495 |
|
CONTENT
ssdeep
|
192:QIfurGD35Gt2p4xWT3tvUxwmhhiIy6a5Sjm7BjPaWsONm7BeLEcF3xq:s6c2rLtcPiL1YyBjLsONm7BeLlU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce38317231cf64ce |
|
VISUAL
aHash
|
0030303030303000 |
|
VISUAL
dHash
|
9f656767656767fb |
|
VISUAL
wHash
|
033f333337333703 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
7474646c74308c04,9f656767656767fb |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.