Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A5321329408B42F5386E3C0A1F0F7BFE692D60ACF215E51F5A58BC9FA86F50B96151C |
|
CONTENT
ssdeep
|
384:20hZPxI+a5Tk2rAK8kt0QCQO95q9RPJrH5/caG7nObnOmnHDnOonOenO+nOyUQna:2kZPx85Tk2rAK80VGwljRRt9E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4f20f073699b1d6 |
|
VISUAL
aHash
|
0070ffff74303810 |
|
VISUAL
dHash
|
c4e496b6a4d2f236 |
|
VISUAL
wHash
|
0070fffff4383818 |
|
VISUAL
colorHash
|
38001008080 |
|
VISUAL
cropResistant
|
f99884bcc2ced8c0,55ccacc7e5b4fdc9,9f95979f87070ff4,a21144696969058a,36b6b6eeae8e0e2e,c4e496b6a4d2f236 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.