Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8D1B7756741587A12034AC9E1F3FF19627F534FC3471DA8A2611BE66388DED40E32E2 |
|
CONTENT
ssdeep
|
48:dETBNaNNghV15fJpLPRtlMjNFv6zNDbr7MoNzFFoTo4gWYlgKYignYvggAVGr4Ta:2Tyw15BpLptlMjNhCNDbrkc3Q/Df08C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc338c26cc73d999 |
|
VISUAL
aHash
|
0018181800001818 |
|
VISUAL
dHash
|
10303210280c32b2 |
|
VISUAL
wHash
|
00193efcffff0018 |
|
VISUAL
colorHash
|
38000000cc0 |
|
VISUAL
cropResistant
|
0000104c4d0c2000,10303210280c32b2 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.