Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE41823010209D7F6193D5D4EBB4FA07B1C2D385CA2B1A8A2BF8835C0EF4D82CD160A4 |
|
CONTENT
ssdeep
|
48:gUYLaGmasmaOI0fT51CUoGdTG+Pe2F044PYcPK:6azaxaOFt1/olYA443PK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc2676c9cd88d9 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
36cdb2b2b2320eb2 |
|
VISUAL
wHash
|
10307dfbf89b0279 |
|
VISUAL
colorHash
|
0e006000040 |
|
VISUAL
cropResistant
|
b6aa8ef2e2807153,36cdb2b2b2320eb2 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)