Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1E1235251299D7545EB96C925EA9B2F30E4435CEBA30AC0FBDCC3FC06EACA8E533041 |
|
CONTENT
ssdeep
|
192:eORAlTtvu3H0MGJ6TTNPDa3B9POSyk9skFq:eOqlZvu3H0MTTpPDSPOSyfiq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc99663399996666 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
707020b2b20c3030 |
|
VISUAL
wHash
|
7e7e7e3c3c181818 |
|
VISUAL
colorHash
|
38003080000 |
|
VISUAL
cropResistant
|
32124e0660717141,707020b2b20c3030 |
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.
Pages with identical visual appearance (based on perceptual hash)