Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3E2B771A1046B3B01A792CAB2D1B75AA3E2934FD34F051253FC872D4BE3E50ED1766A |
|
CONTENT
ssdeep
|
768:/QeXkN7SsNouUunbWcU/3nojDR7sOy2+y9BH4c1Ie:zkQseez17sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d340f93a9d6996c1 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
98c8c4c8cc0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,9888c4c4c8cc2cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)