Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110C33421C6A41333D205078AE7EB7756679BC1C7CC92BCB8A1A08174DBBDD891C77DA2 |
|
CONTENT
ssdeep
|
3072:UyKJrjylK2E6IOZuagKI3ImJS20QIYLQICeIkPksuGIyIhuBnv7p7:lKNQ5IZf3NHp7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e816a5b0c88f7733 |
|
VISUAL
aHash
|
ff00008040cffffb |
|
VISUAL
dHash
|
2f317131919c3212 |
|
VISUAL
wHash
|
ff00800040dffffb |
|
VISUAL
colorHash
|
0e401008040 |
|
VISUAL
cropResistant
|
d0222f2b906a91b1,a636723869f4f2d1,7131b1909c021332,0020d0d0d0d02000,b1317131b1b1949d,e0fbf7f37ccff9fe,9f8d0d8c8f232260 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)