Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FA163A3211C843E0F53CB90F882F4649077A616D107F828BE69414EAFC1EA6B765367 |
|
CONTENT
ssdeep
|
48:SNTNmTNMKkedsrv/USRi7s45Qjsjgg/USRi7s4qVgHuIp0B7fRclFc6Gaca3OAbL:S37/UKEp/UiVvnncJBDsuuNR53n/K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6221959e6e6d999 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
00130f0c0c000400 |
|
VISUAL
wHash
|
000000e7ffffff0c |
|
VISUAL
colorHash
|
07000000380 |
|
VISUAL
cropResistant
|
5400080000008010,0d0c0c0c00000000,0000001091951b1b |
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.
Pages with identical visual appearance (based on perceptual hash)