Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140235C726332B47883DFA1DEE7382915B2D2998EE8C74594F5C899CD13C3C902697BB4 |
|
CONTENT
ssdeep
|
768:a8+EsZx8/G8CjX45Daw7MIBowzMIBkwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:a8+EsZ/8Cjo5Daw7MIBowzMIBkwZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9669e969b0963996 |
|
VISUAL
aHash
|
003c3c3c3c003c3c |
|
VISUAL
dHash
|
2be0e8e8e870e0e8 |
|
VISUAL
wHash
|
ff3c3c3c3c003c3c |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
000c083969696971,a6a24d6c604dcc51,a62582a4454da460,69e0e8e8e870e0e8 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)