Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8932AA43A5DF5665AB3439310AF1103B338562B640E4C206354ECAE76BDC9FA077FDA |
|
CONTENT
ssdeep
|
1536:f0X6fboQoCo2h2wV9Q/oDtVPTMn56QOIuKz33QO48h:8XexMAQgDnAOUz33VT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666664739999 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0c32b2b2b2b2300c |
|
VISUAL
wHash
|
003c3c3c3c3c3c0c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
b2bcbab2e2b2a2b2,0c32b2b2b2b2300c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)