Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9330B102210B36AAC334FB4B35A34A7D2DE9345F6E66D5CF269935175C203AC387DBA |
|
CONTENT
ssdeep
|
1536:2mp0wA3wnH+c+NiR96o3E4t7qYSXqDZ7U1c/IbpXBS:V+NIaA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e19b9a279e29650e |
|
VISUAL
aHash
|
ffe7c3c3c3c3e3ff |
|
VISUAL
dHash
|
5196969696869640 |
|
VISUAL
wHash
|
01c3c3c3c3c3c3bf |
|
VISUAL
colorHash
|
0e20a000040 |
|
VISUAL
cropResistant
|
5196969696869640,33ecf0334d031226 |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.