Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151A2A539B205020D624720A5E4D2737BB705497E7A435DF8BCB2C62FD59D26EB032AD9 |
|
CONTENT
ssdeep
|
384:FMBxDJns08tE0EVE1gM7BloBCrwxIvzzI9cns9saLG:FMBxDJs08tE0EVE37BlCCLzzGTCaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bdc9c23cc3613c96 |
|
VISUAL
aHash
|
ffff83c38383c3ff |
|
VISUAL
dHash
|
0233071717073700 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17030000080 |
|
VISUAL
cropResistant
|
0233071717073700,e30b173333173737 |
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)