Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A72F903D0111E7A9233C4D0E5DABD24629EF346EB540418AFA845AF49D7EB6F12B1AF |
|
CONTENT
ssdeep
|
384:xrYAfWgxl+1D3PWJtJsqiDzy4EedSYieUieesZgl2Z9+:5pPxY1D3PWJwri4EelieUieesZTZU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc666699999999 |
|
VISUAL
aHash
|
0018181818000018 |
|
VISUAL
dHash
|
00b0b2b2b20000b2 |
|
VISUAL
wHash
|
0c1c3c3c18000018 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
2333e08ae0e0dbd8,6886966892961ca0,a2554d53c83333e0,00b0b2b2b20000b2 |
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 140 techniques to evade detection by security scanners and make reverse engineering more difficult.