Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141225033A600DD694DAB958CF2C0A989415DC345FB3148CAB2A091FF7BD4CF069A97AD |
|
CONTENT
ssdeep
|
192:wR3JYdbSGD3vQ3SCSVlMcnthWeNWb50mfMmUU8VCoHD:zbSGD3vISZ00mfMmUFCoj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cc8c333333cc |
|
VISUAL
aHash
|
e7e7e7e7efeffffe |
|
VISUAL
dHash
|
4a08084808080000 |
|
VISUAL
wHash
|
24040404c7c7fffe |
|
VISUAL
colorHash
|
07000400030 |
|
VISUAL
cropResistant
|
4a08084808080000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)