Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CE2A631B1146A3B8297D2CDB361F32AA3E38349E64A050591FD83AD4FE3D65DE3351A |
|
CONTENT
ssdeep
|
768:XS5y5NK5cENWrt7Z/g+StvNF9tJzi47sOy2+y9BH4c1Ie:oaJpyxts47sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b26bed128d6d9283 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
09094b43cd0c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeff9e9efffefe,0080800078908000,0a09494b43cddc33 |
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)