Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8D2B671A2102A3F019B83CA7711F72EE2D3924DE646094553FC975D4BE7EB0FA2316A |
|
CONTENT
ssdeep
|
768:IGy5NYglllhJL6SbIu8moZVhe4i7sOy2+y9BH4crIe:GJhJUlZVEZ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361d53a961eb9c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c3c3eccdc9c500 |
|
VISUAL
wHash
|
60fb70340400ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c200a00158d88000,c8c3c3c2cdcdc9c2 |
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.