Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3D2BB3272147A3741A3D1CA72A1672F62E3434FE7460525A2FD83AD0BF7D14DE6721A |
|
CONTENT
ssdeep
|
768:YeRicX+OHSZ89D5eWtSVPM7sOy2+y9BH4crIe:NBNyZiD5eWMVPM7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d606b430bd3ce4c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccd0c88c8c00 |
|
VISUAL
wHash
|
067c74306004ffff |
|
VISUAL
colorHash
|
31010000c00 |
|
VISUAL
cropResistant
|
0c80880458988000,d4ccccc4d0d88c8c |
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.