Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CD2D932A004373F125783CDB754F72EA2E3864ADB46091592F8832E5BD7ED0E92357A |
|
CONTENT
ssdeep
|
768:IgSky5NFusdwE9uPRQqZ6Eg0fUAQw7sOy2+y9BH4cLIe:WgWwHPUdw7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363d5389d699492 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98c8cccaec0c8300 |
|
VISUAL
wHash
|
00fc7c700600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,dcc8ccc8ca0c0c04 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.