Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146528433A600DD6A4E97A5CCF1C095CD5159D34AFF324886B2A091BF3BC5CF129A53AD |
|
CONTENT
ssdeep
|
192:tIdIdaNMKGw975ZpbsXFMcnthWeNWb4A4pzOf55dmfMmUU8VCoyq:baNMKGw975bIX/npzOf5jmfMmUFCoyq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333ccf80d8d0772 |
|
VISUAL
aHash
|
c7c72727c7e7ffff |
|
VISUAL
dHash
|
9c8cccce8e8c2008 |
|
VISUAL
wHash
|
074303034343ffff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
9c8cccce8e8c2008,514151ccc4564945,2a96ea72e896ea00 |
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.