Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8D382D56628438CA047CAADFF2FFE05131FB1AABA558580299EC268D5CF8D1F70752C |
|
CONTENT
ssdeep
|
1536:YR0RQ7H2IEvaMDPuoMJ3FsR8MLqcoIFsR8MLqcev:W0RQ7HVIDucok |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b309ce4ee61919 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
080c0c0c10001010 |
|
VISUAL
wHash
|
e7c3c3e3cfcf0000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
080c0c0c08000000,0008103010100000 |
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 88 techniques to evade detection by security scanners and make reverse engineering more difficult.