Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF715320D018AB775897E6D1E626AB0F31958289D6A30BC17BF593FC5FCAC94CC39281 |
|
CONTENT
ssdeep
|
48:TCSuVgC90pElr9ngglVJwBu0z2OyeZY7Zc2Sgua0mEkTNqH7HJrpZMdqKrUQT2Kg:TWP9xlxngQEdz2O5ZNCTNypnBKrGnn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f02a9f67354d0237 |
|
VISUAL
aHash
|
00fff4c2c2fefefe |
|
VISUAL
dHash
|
a0908994948ca294 |
|
VISUAL
wHash
|
00fcfcc0c074f8fe |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
c8c9818dc5d010c8,82203036ce8880aa,e0e0e0c0c0c0e0f0,f0e0e0e0e0c0c0e0,c8e060b0b3989818,a0908994948ca294,0f07010501071f38 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|