Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17253D9193255157B20BBC3C5E6627F8A30FBF30BC14D9085AAFE02654FEBDB97929025 |
|
CONTENT
ssdeep
|
1536:fQYTWE9UdWNlJ4e8JqegdfeUQhexCWefabeTKO25bWiY25bWiy3/R5UW3/R5Uhj4:fQYC6xjQFSQd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cb533348c37b3cc |
|
VISUAL
aHash
|
4618383c18001819 |
|
VISUAL
dHash
|
d6717061b0682031 |
|
VISUAL
wHash
|
663c3c3c183c3c3d |
|
VISUAL
colorHash
|
38400030000 |
|
VISUAL
cropResistant
|
9224d22d6d4a0282,d6717061b0682031 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.