Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1934131BF809ED832674E43D5A17A3C9C8E8601CFCBC27F8BA5E0802A93BC5D14265245 |
|
CONTENT
ssdeep
|
48:ojIWVMjh0uajsPIZXI/+u/uFIqtyiIqt2tIqt2IqtY1IqtmpzVMjhK:ojIWTd4PIpI//uIwyiIw2tIw2Iw+IwmN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afd06b6ad02fd00b |
|
VISUAL
aHash
|
ffff3fffdfa101ff |
|
VISUAL
dHash
|
8967473330636b0b |
|
VISUAL
wHash
|
7d33379fd70100c3 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8967473330636b0b,ce86c60616660e26,9c9effaaeafffdff,3b31e6e6361e0626 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)