Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBE1733551000D3FA5134BE4F7B1BB39B0AB825ADE1B9848D2AD12A577C3C4EDCB3298 |
|
CONTENT
ssdeep
|
96:TzR9miZyBq3gSb9Lh9UIPJ1V1zNZgSb9STltHxxTkGsRtrnUqG:bmiZI9Y9g6fDqY94UnG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c7c926969b69649 |
|
VISUAL
aHash
|
1f1f1f1f1f1f1f1f |
|
VISUAL
dHash
|
34343436b3b4b6b4 |
|
VISUAL
wHash
|
0f0f0f0f0b0f0f1f |
|
VISUAL
colorHash
|
160000001c0 |
|
VISUAL
cropResistant
|
0020101c8e600400,800080c0a2be7efe |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)