Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2C29631B1406B3B519783CAB762F75FE2E2820ADB86081693FC83AD47E7D54DE23519 |
|
CONTENT
ssdeep
|
768:WSkZTzIuUWFMbpEinFA07sOy2+y9BH4crIe:QIESp7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc29e5469cba |
|
VISUAL
aHash
|
000000200000ffff |
|
VISUAL
dHash
|
c4d8ccc8c8d0cc00 |
|
VISUAL
wHash
|
00007c787838ffff |
|
VISUAL
colorHash
|
3a000000618 |
|
VISUAL
cropResistant
|
0880800458988000,cc92ccccc8c8c0cc |
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.