Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7432BA56044293F5363D2C19310AE0B92D59297CFA5C5CFF2F6933123DAEA294B127F |
|
CONTENT
ssdeep
|
1536:S0B9RTQYAERsbgRuRRsDRqnawpa/5Nkay4aALIv:Dkv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f6b3024494f4f36 |
|
VISUAL
aHash
|
00ff3c383c3e3e3e |
|
VISUAL
dHash
|
d1396870606464f4 |
|
VISUAL
wHash
|
00ff38381c3e3e3e |
|
VISUAL
colorHash
|
1b0020001c0 |
|
VISUAL
cropResistant
|
a60968707060707c,d4e9f0d3d3d3d3d8,8369595a5a684859,c0e96960f8f0c0a9,441af1d9d1b1324c,68706060746464f4,c9d4c4cc105454f1 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.