Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4D2B53271102B3B119383C97761B71FE2E29289DB8A090967FD835D4BD7F90EE2751A |
|
CONTENT
ssdeep
|
768:ygeFy5NYutvauzTiVfgih0xhrTuuhdCv2/i7sOy2+y9BH4c1Ie:bTiGih0thdCX7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d438b92da5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9ccdc3c3cd8cd300 |
|
VISUAL
wHash
|
00fff1310000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dccdcdc3c9cdacd0 |
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)