Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C551703580158E139983C2E8E6B4970F378A8396C7472B045EF8937D2BD7D4ACE223D4 |
|
CONTENT
ssdeep
|
48:eTw9pchK0OnwHKDZxkbfi0OnzdudU2g2dMjneIZHSbfpXl:kgTwA0fOxb2kdERV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f622dd89dc227689 |
|
VISUAL
aHash
|
ffffe7e7ffe7e7fe |
|
VISUAL
dHash
|
00304d4d32480d10 |
|
VISUAL
wHash
|
00000000ffe7cfce |
|
VISUAL
colorHash
|
07007000040 |
|
VISUAL
cropResistant
|
00304d4d32480d10,a4d6e664f4d28024 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|