Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8E2A771A1006F3F01A392C6B391A75A63E3934FE64A051652FD872D0BE3E50DE2766F |
|
CONTENT
ssdeep
|
768:nNeNHSxn6PAcQzb9mf4hyF7sOy2+y9BH4cLIe:oynk7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d340f936bd6990c9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
98c8c0c8ec0cc300 |
|
VISUAL
wHash
|
006478203e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4d4d4c3008,0080800058988000,9888c0c0c8cc3cc3 |
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)