Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED225F33B600DD2A4D9B558CF2C09988511EC385FB3148CAB2A491FF7BD0DF169A879D |
|
CONTENT
ssdeep
|
192:F4d3JkdPWo90tx1Sx3htMcnthWeNWbnfMmUU8VCoUP:GYPWo9JhafMmUFCoUP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c6c63133c6c6 |
|
VISUAL
aHash
|
878f8f8fffffffff |
|
VISUAL
dHash
|
1c1818181c001800 |
|
VISUAL
wHash
|
000404048fffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1c1818181c001800,8185c19999918101 |
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.