Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DA2CB308005716B573758C9A8721B2E74E39B2DCE230C469BFC57CBBFE1DA6AD0558A |
|
CONTENT
ssdeep
|
384:CmPEpM1mDMvUEicUruFbfeGvollfX7tl1Q7f:7PaMcM+lfX7tlK7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf3d30c6c71a9a2c |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0b5661696169a98b |
|
VISUAL
wHash
|
00003c3cffffc1cd |
|
VISUAL
colorHash
|
0fc40000000 |
|
VISUAL
cropResistant
|
d61797220b03868f,0b5661696169a98b |
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 1576 techniques to evade detection by security scanners and make reverse engineering more difficult.