Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8D131E0C554EE37476386C99BF56B0B73D1C349CF42094093FC83AB6BCAC60DA256A9 |
|
CONTENT
ssdeep
|
96:TkJISzeFvMSfuSTCctutQOSS8lWUF6msfXd/NwvFdSecqXAz/iYUYfYfGJ:QJISzeFdjWcktQtW3W6zcsuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98e1659a9aa9b8e6 |
|
VISUAL
aHash
|
ff00183c3c1c0000 |
|
VISUAL
dHash
|
f0c4f0f0f8b0d4f0 |
|
VISUAL
wHash
|
ff183c7e7e3c1800 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
00000000000000f0,c4d4d4dcd4ccecd0,f0c4f0f0f8b0c4f0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)