Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1D2A631B0105A3B42E782CDB7627B2E62E34389D7491494C6FE83B94F97E08ED73695 |
|
CONTENT
ssdeep
|
768:+eeNpaXuSsSeplz7iulPH3Er+xFwuM7sOy2+y9BH4c1Ie:8puovXH3EQwuM7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c323b53af02cbc8e |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
48c8c0c8c8c4e100 |
|
VISUAL
wHash
|
002c70e8fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
008080004c888000,49c8c0c0c8c8c4e0 |
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)