Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FC2F71BB355323303A300B573DE7BDEF3A6404987125B14A1BF828D23E2D3A9973A95 |
|
CONTENT
ssdeep
|
384:87YHxXgQMnaXA92js536RtVoBEiAzR+/WSkOy9N/dYm4T3ocVlm9HXEcoCgkoDX1:kaXA92js536RcMgGN2miC95wXxg+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c22bc67999399996 |
|
VISUAL
aHash
|
007624003c00307e |
|
VISUAL
dHash
|
d0cccc83d4d4e0f4 |
|
VISUAL
wHash
|
0c7e7e007c3c347e |
|
VISUAL
colorHash
|
38001208001 |
|
VISUAL
cropResistant
|
e8d88b8e8e215796,8c8ed636161c2e4d,70cc9e96b2e2ca9e,f2e2d4d6c4a6a2b2,d0cccc83d4d4e0f4 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.