Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C526436715C115826663CD2E0FA33AAB72B157E7E8308E47876DD1EC2AC25FB071E61 |
|
CONTENT
ssdeep
|
384:FenWDJns08GEBg6Mg6MvdEI8+FydsNn9saLG:FenWDJs08GEBg6Mg6MvdEL+FMsNnCaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd98c267c3393896 |
|
VISUAL
aHash
|
ffff83818181c3ff |
|
VISUAL
dHash
|
0227373323270b00 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
0f00b000080 |
|
VISUAL
cropResistant
|
0227373323270b00,f25b19398999e399 |
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.