Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADE2B63561007A3B4297D3CAB361F72EA3E78385DA56094592FD83AD0BB7D50CE3361A |
|
CONTENT
ssdeep
|
768:AS5y5No2QHSUq4sZJfZRC0oVbcy8kfR/47sOy2+y9BH4c1Ie:qQOHfWp8247sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ed128d6d9687 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
19094343cd0c3300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,10094b634bcdcc33 |
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)