Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140D2AA3260006B3B12E393C6B3A2972BA3E3534AE747055952FD83AC5BE7D94CE33556 |
|
CONTENT
ssdeep
|
768:iSby5Ner84QxuDz8ALoeg9zyDii3F9D1z+BuDQhzDPYnVXPDio7sOy2+y9BH4crl:Qk1r37sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc32cd3890e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cccccd8c8cc3c00 |
|
VISUAL
wHash
|
00fe6820204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d4d4d715596,1080800458988000,9cccccc8c8c9cc3c |
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.