Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E91242B06089AC3F12B3D1C9F921939FA191830EDF17DB0457F4A39DA2C9EB59E3415A |
|
CONTENT
ssdeep
|
192:Vd6dcWjWxW+W/WCWoWMiW9WM5GRFZWIKr1:wI3Wh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc999999cccc99c9 |
|
VISUAL
aHash
|
18183c3c3c3c3c3c |
|
VISUAL
dHash
|
3332696969696969 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38030000000 |
|
VISUAL
cropResistant
|
3332696969696969 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.