Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D52DD7251795D3F31A38AD8B2B8372B31E3D288CB57260456F983AD5BC7D86ED1B050 |
|
CONTENT
ssdeep
|
192:tHrfZAq9FFJRJbmt4+meClLb5HpOGzkBV0z2A:FfZJX/5c6Ua2A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666699999999 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
b00cb2b2b2b20c30 |
|
VISUAL
wHash
|
ff733c3c3c3c0000 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
dad8e4e6e6e632b2,b00cb2b2b2b20c30 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)