Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F33F8F1F484BC2751B790CAF460D6CBE1A62819DF241DA4B69802F2F7CBC7E4572269 |
|
CONTENT
ssdeep
|
1536:ehbtZFwfaB0Z1HdKW+MAw4lsvlOtXLCaB3E:ekKW+MAw4lHNTE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f812bce9413cbe43 |
|
VISUAL
aHash
|
0004040060c3c3c3 |
|
VISUAL
dHash
|
12ccccccd22b2323 |
|
VISUAL
wHash
|
006646246bffc3c3 |
|
VISUAL
colorHash
|
310010080c0 |
|
VISUAL
cropResistant
|
b28e4c1c230bb2d4,2b2b333323232323,8034ccccccc4d4d2,5b24b4134b515151 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.