Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD315222B1185C3E6123C29AFBA57B2B12A1D698D20E050069DED26D4FE5E95FC17288 |
|
CONTENT
ssdeep
|
24:hR/Y9fRhMZ0o5BgdjojhllV9DKEwC4rlHeqQ+vaBvSf5l6Pcl0X:TwJg/2IKEwC8Jn+vSCkaX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f07071f0f |
|
VISUAL
aHash
|
3f1f1f871e9fbf1f |
|
VISUAL
dHash
|
60722c2a383a633b |
|
VISUAL
wHash
|
000f77861e9e9f0f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
60722c2a383a633b |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)