Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3226133B200DD2A999B96C8F2C49588411EC349FB3148C7B16482FF7BC0DF069A97AD |
|
CONTENT
ssdeep
|
192:CffiYdaaYGKPBDzFMcnthWeNWbIfMmUU8VCoBB:GaaYGKPB1fMmUFCoBB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c949a8ad2707d9f8 |
|
VISUAL
aHash
|
3918580000ffffff |
|
VISUAL
dHash
|
f3b390ce0c002400 |
|
VISUAL
wHash
|
1919180000ffffff |
|
VISUAL
colorHash
|
06003018000 |
|
VISUAL
cropResistant
|
bafafeecae6a62b3,bff8d3ef753e362f,90ce6c8e00040000,b3f3f3b190c66c0e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.