Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1453201307013383752378AD1F4968F0C764B9736DA460A69F3A41B66AFCECE45972BB4 |
|
CONTENT
ssdeep
|
192:lpncbbRgSMJucdw7utd1suuQOCFTc2QvuhQOCFTcVZEu3JMLnuadwbDL2uKvw8vY:PnEEucS7utHsuunscVvuhnscDEu3uLnE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3337426669999c5 |
|
VISUAL
aHash
|
e7c7efefe7ffffff |
|
VISUAL
dHash
|
4d4d4e4c4d080c0c |
|
VISUAL
wHash
|
c0c0c0c0c3c3e6e6 |
|
VISUAL
colorHash
|
074000000c0 |
|
VISUAL
cropResistant
|
4d4d4e4c4d080c0c,6363b2f2f3b33270 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)