Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B835CF4A480FD2342B340D2B15F9646B3FE540BA81E0CA0B69CC6CB73D98BA65776D5 |
|
CONTENT
ssdeep
|
768:sT0TQH7anYFUxQ8WJQCX7zBN11cq/Dr1RJJSlNRJnTbbC1KmuMQIIPx0YwOKyyLW:tWyApD6DfkpzDCpzxOuEzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
906dbc39e666b815 |
|
VISUAL
aHash
|
00087c741c0826ff |
|
VISUAL
dHash
|
b4f8e8ecf8f0ccf8 |
|
VISUAL
wHash
|
00087e743e187eff |
|
VISUAL
colorHash
|
08400030000 |
|
VISUAL
cropResistant
|
ecf4f8f8e87935c5,b4f0e8ecf8f0ccf8 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.