Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F6164B25046942F4206D3D0A2E1F7A7B591C205CE224F15E2A40BDAF5D5FA2FE3215C |
|
CONTENT
ssdeep
|
48:LKa06D0J1ziu2TNPmwN0IxmwNS40Tr6oUtLtqPLn2IfUtHIqqP6zy98p9g9C:D4JvKHxY40TrPUtLGLn2IfUtHIru5EC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
adf072588da7270d |
|
VISUAL
aHash
|
e0e0071f1b080000 |
|
VISUAL
dHash
|
10133737b3323008 |
|
VISUAL
wHash
|
f8fbdf1f1f181000 |
|
VISUAL
colorHash
|
38038000000 |
|
VISUAL
cropResistant
|
e0e0f0f0f0f0e0e0,f0f0f0f0f0f0f0f0,10133737b3323008 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.