Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175C2B731A1406A37629782CEB361771EA1E3C30EDB41076792FD83AD57D7D58CE6342A |
|
CONTENT
ssdeep
|
384:HQQepDPJ7tROy9uUmipxynxckLVYECqCsVIVb+W0x+aIYsOy2+y9BH4ciUIe:wQepDPRpofVY3eHL7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2579d329129e3c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
18ccc0c8cd8d8300 |
|
VISUAL
wHash
|
0c7c70006445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18ccc4c8d8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.