Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA02FA241111E779A043D3F92A71E87AF789A792CE13E25AC3F1CA88D5D1CAD8D609C7 |
|
CONTENT
ssdeep
|
96:RXy8w1xkUNBK9zzUAGIOmgPqhxDpQeeQnLSbLNYrP1sIWNYftWBmTfclDFBQLazo:1JwTkmBMzRfh9pQILyL+RFFTEhF6Lazo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddf2628c9c999926 |
|
VISUAL
aHash
|
8000181818180000 |
|
VISUAL
dHash
|
100c323232b20723 |
|
VISUAL
wHash
|
fcf4d8df1b1b0101 |
|
VISUAL
colorHash
|
30000000038 |
|
VISUAL
cropResistant
|
3076664071010c0c,100c323232b20723 |
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 13077 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)