Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5A1727123AAD89E4153D6D2D924AB6E39BB88FDFE9B131215FC077E55F2C90CD08208 |
|
CONTENT
ssdeep
|
96:C1e2HxoTaqiv3t7TC91lPKG6ypO94hUXX:C1926v39TKlP3pTUH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc99666639cc6666 |
|
VISUAL
aHash
|
103c18180038383c |
|
VISUAL
dHash
|
707132b230606060 |
|
VISUAL
wHash
|
383c3c18083cbdff |
|
VISUAL
colorHash
|
38c01000000 |
|
VISUAL
cropResistant
|
120aa4331b320002,707132b230606060 |
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 188 techniques to evade detection by security scanners and make reverse engineering more difficult.