Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA821CB13050782F65A3D2B8B267676F61A687C8CD5B866CD1D4E0B53ED0C7AC8CE350 |
|
CONTENT
ssdeep
|
384:HlbmRtjMOptvqjDFKaAWj2nvUwXNAfLwUWAuYx6jomrYZJp2/R2vYtF+L:HlbPjDFT2vUwXNAzwUWAyWwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a22a080ca4b7f7f7 |
|
VISUAL
aHash
|
0000e7ffffffffff |
|
VISUAL
dHash
|
b5b30c4c30080000 |
|
VISUAL
wHash
|
000000000f0f0f0f |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
8000c0c0800085a5,b30c4c3000000000,a58d273331e9b1b3 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.