Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17402EF311054EC3302A7E2D697B81B8F76E5972ADE53428B9BF8874E4FDBC80DD52221 |
|
CONTENT
ssdeep
|
192:C7vTIzXp+ps8Rrd3TDMFPdfT+BH1GR/vu/9:OTeQs8RrlTYF1fCBVGRvu/9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38966669931e6cc |
|
VISUAL
aHash
|
db25bddd3fa5e7df |
|
VISUAL
dHash
|
30ccaa1ab24d4c30 |
|
VISUAL
wHash
|
d0403c2c7fe6c795 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
30ccaa1ab24d4c30 |
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 105 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)