Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CC2B832B2006A3B15D7D2D9B362F32FA2E39249D7560915D2F983AD4BD3D64CE3311A |
|
CONTENT
ssdeep
|
768:QScy5NsfbJSMjp4g03dynmO7sOy2+y9BH4crIe:ObJf03gnmO7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361f53ad428d3a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4c2e2c8cdf300 |
|
VISUAL
wHash
|
00fff2300004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,9cc4c6c2c8c9cdf3 |
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.