Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A051AD38E344201E627BC9C5B5115A1DDE43F33B8A025880666A42B50FE7DA5F83ED57 |
|
CONTENT
ssdeep
|
48:nSYNYnvRJ8SymqQ2m2O1sNknXFFArvdwRBM:ntYQSgQ2m2VqvArFl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa7355157a7a1551 |
|
VISUAL
aHash
|
00ffff00ffffffff |
|
VISUAL
dHash
|
0808905551c00000 |
|
VISUAL
wHash
|
00050000ff3fffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c88315500600000,0609484949448908,0010101010100800 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)