Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18555D851F1A22833202F52D5E07967096193F7ABD7420BC1E6F543B82BFBC59B81B59C |
|
CONTENT
ssdeep
|
12288:tuSs3MB87VaRxF8eMxGZZD6b0mTG6HfEC:94fEC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba1e43431e5a5357 |
|
VISUAL
aHash
|
00f79f9f9fffffff |
|
VISUAL
dHash
|
f00e3d3929191909 |
|
VISUAL
wHash
|
0083858d8dededed |
|
VISUAL
colorHash
|
07406000000 |
|
VISUAL
cropResistant
|
c282c26242a28282,472f393909191909,c0e9e8c8c016aa2a |
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 2745 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)