Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4739E20A53318A74577C8D5F4253F4970E2FB8AC298D382D67C4B6A2FCBC7478652E9 |
|
CONTENT
ssdeep
|
1536:ASeT7SFN1dTpR3k7pyx63qtbTDBoHdoRFAnTfmwAFhOd8GuPHxy/quCcZ5mXeSeb:ASeTmFN1dTP3k7ox63qtbTDBoHdoRFAf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333668c9999cccc |
|
VISUAL
aHash
|
e7e7e7efefffffe7 |
|
VISUAL
dHash
|
4d4d4c480c0c0c0c |
|
VISUAL
wHash
|
04040404c4c4e4e4 |
|
VISUAL
colorHash
|
07c01008000 |
|
VISUAL
cropResistant
|
4d4d4c480c0c0c0c |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)