Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1850333709056A97B02F392E1AB756F6FB3D5E2C8D942470426F8C75D8FCAF54EC21092 |
|
CONTENT
ssdeep
|
384:OENNryzd7C0of/szjCygUyD084mR8m9qFL2AoKkRaBN5BnA8kA:OE/yzdDof/szu1WQ8ymoKkSLFkA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da9261838e66cf99 |
|
VISUAL
aHash
|
04003c3c3c3c0080 |
|
VISUAL
dHash
|
4c9a2969796b1616 |
|
VISUAL
wHash
|
ff093c3d3cbcc080 |
|
VISUAL
colorHash
|
00000000c00 |
|
VISUAL
cropResistant
|
d69bc9cfd6fefa9b,4c9a2969796b1616 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)