Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BC2ED32C090683B42B3D6C9AA34675BE3C39159CF270E0667F48B6D9FC7E89CD1195A |
|
CONTENT
ssdeep
|
384:JO2NE2IfS2Tl9kAB6WCDFDSSOIUrRD4MBAhh:J/NpMLTl9kxSSFJfh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9249ed3693e54cb2 |
|
VISUAL
aHash
|
000000200404ffff |
|
VISUAL
dHash
|
2734e1c8dcac4e0c |
|
VISUAL
wHash
|
0300387e0e06ffff |
|
VISUAL
colorHash
|
32006000080 |
|
VISUAL
cropResistant
|
93c4ccd1f3e2f6dc,324d4d4cb2ccc040,066790e0c0dc9cac,0030426969710628 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.