Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0A30E234219362B4437C3C1306A5B3BD1A6DA9FFEE709405EDCCBF62AF9CA0741A559 |
|
CONTENT
ssdeep
|
1536:5tpR4nXBKpSpFl26v8qRq9qQSoRWDVQSwj:xUMFqRq9qQSoRWDVQSwj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93346c2fd132487f |
|
VISUAL
aHash
|
c0900c2e0e0085f8 |
|
VISUAL
dHash
|
02223cdc585b49b3 |
|
VISUAL
wHash
|
e3990c7eae048df8 |
|
VISUAL
colorHash
|
11400030000 |
|
VISUAL
cropResistant
|
cc0080606082008a,8e00806060e00022,8886a0b8fcfe8e9f,e680a0e0c0a880a2,8880a0a0a0a08080,8ef6e0ccdbc7c328,f3e565e88cccecf3,02223cdc585b49b3 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.