Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10ED11CE1D404ED3B435386D9A7BA6B4F76A1C349CB031A4493F883AB5FDACA0CE15589 |
|
CONTENT
ssdeep
|
96:nkTWnfzD71tDlt8v67Mcddt7hx9lMZF8IFXfIHFoKX8X/Z1fq2J:kynfzD715lt8iIGd59lMSAX/qw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc33994ccc |
|
VISUAL
aHash
|
ffffffefefffff00 |
|
VISUAL
dHash
|
080c004a0a200000 |
|
VISUAL
wHash
|
272727270010ff00 |
|
VISUAL
colorHash
|
07206000040 |
|
VISUAL
cropResistant
|
000c00084a000800,0000000000000000 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)