Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13761763370608D1F222745ACFC63714E809DC217C6357EA4F6B932F679E2DE981B2566 |
|
CONTENT
ssdeep
|
48:TGiNngOM75LWjzyzjrLYgpMGMXrjhuNaN4f513FIFf38uKb8DeaPGfL:TGmVM7562HMGMXrF013mqb8jOfL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8706859593bf5a6 |
|
VISUAL
aHash
|
0000f7ffffff87ff |
|
VISUAL
dHash
|
82a6863ae8575725 |
|
VISUAL
wHash
|
0000e3ffffff8101 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
86863be9a8577725,008292929200a0a0,8d5555557577761a,5b8aa78787a5b41a,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)