Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161C2E83271106A3B41DBD3C9B762A72EA3E39349E706091591FD83AD4BE3D58CE73126 |
|
CONTENT
ssdeep
|
768:uScy5N3LVJPugOp2G/R67sOy2+y9BH4c1Ie:vVJPOg7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43adc28d1e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
14cccac2c0c9e100 |
|
VISUAL
wHash
|
00fff0302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948ccec2e0c0cde1 |
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)