Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EB16481A280D70F5463C0CEDE611B959107F686D39A55F927B703A4ACCFCEAF02E495 |
|
CONTENT
ssdeep
|
96:nAGC9YRR0DU25LiykTSTh5x/9rg8M/ACd9AscM0STI2z4fes3:AT+zIUML/l5x108M/AMqPuiew |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d6196666696439f4 |
|
VISUAL
aHash
|
003cfffffff7e7e7 |
|
VISUAL
dHash
|
607991f1714d4d4d |
|
VISUAL
wHash
|
003c7d7dfce46464 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
79f9f961694d4d4d,20c0c01660616969 |
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.