Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0327720D10E5E3972077781F3B0260D91C5D10A8B205E94A7AB43FB57DEAE8C5BECDA |
|
CONTENT
ssdeep
|
192:9xL7j2keHj2keSj2kE/EwTrITrT9oetklex7ko5ehmA7oLJ+:rEwfIHxoetklex7ko5e37SJ+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99993333cccc6666 |
|
VISUAL
aHash
|
0018001800000000 |
|
VISUAL
dHash
|
4c504cb214080000 |
|
VISUAL
wHash
|
0018243c00000000 |
|
VISUAL
colorHash
|
38000018050 |
|
VISUAL
cropResistant
|
a28a0096961080a2,4c504cb214080000 |
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 58329 techniques to evade detection by security scanners and make reverse engineering more difficult.