Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC7384B1521DA6BE41C7C2E897770B5A33A9C6D4E723012466FC93B80FEBC96DE27150 |
|
CONTENT
ssdeep
|
1536:i2Rk9FAYNbXIAV8MxXNQpfmpqC6XE2Qjxmp1o7x:i8+6MrIAGMxXNQpfml6XEVjxmHo7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6989866d992c5c7 |
|
VISUAL
aHash
|
c7cfffe3e3e1e3ff |
|
VISUAL
dHash
|
3e3e2c0b4e4f4f12 |
|
VISUAL
wHash
|
838383e3e1e1e3e3 |
|
VISUAL
colorHash
|
07601000040 |
|
VISUAL
cropResistant
|
3e3e2c0b4e4f4f12,801024e46430c000,08223c386031652c,cd4d4dac2f6fad3c |
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 20412 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)