Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1985344317218642C1AB757D4BAF9BB1210B5B36CF413F129EF6D40A60BCFED27626099 |
|
CONTENT
ssdeep
|
768:mQrbuH4f1DXe4G8OU94CCbIiUgjbIiz99nNXTSWnWDTlbzO8XZXpPIjqnbzOTIZe:hf1DXe4mwWs+KlLA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c06d3d92e06d3f |
|
VISUAL
aHash
|
0000fcfe4e060000 |
|
VISUAL
dHash
|
b0e0c88c8c2c0e09 |
|
VISUAL
wHash
|
583cfeffff060000 |
|
VISUAL
colorHash
|
38050000040 |
|
VISUAL
cropResistant
|
b0e0c88c8c2c0e09 |
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.