Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCF2A830F040A6334193C6E36239A71AE3D39B45CA53A6C77FF583AD8BE6D41DE12615 |
|
CONTENT
ssdeep
|
384:88IlM2czbHxL099Gks6SuS+S27iyu9myQ2l+sjhw6Cft:88MM2czrxLq9Gks1uqMivMyQkJjhwhF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0c9dae2d6e59994 |
|
VISUAL
aHash
|
ff0b0b0707070304 |
|
VISUAL
dHash
|
e1f3face7edfcd1c |
|
VISUAL
wHash
|
ff1b0f070f0f0706 |
|
VISUAL
colorHash
|
06207000000 |
|
VISUAL
cropResistant
|
e1b3fbfece3fdfcc,31b191daccece6e3,71e004f0e0c79130,b3fbeece3fdf8c1c |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.