Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2B3A672712D643F235786E0B626776A719AC24ECD82079697FD83784FA3CA0FE17448 |
|
CONTENT
ssdeep
|
3072:EkYwprqGf8rqGUpK/6qpK/6o4pK/63qj8IYwZ:wqj8c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba4a8736ca5a7a85 |
|
VISUAL
aHash
|
9db38080ff87bfff |
|
VISUAL
dHash
|
615311310c2d6d42 |
|
VISUAL
wHash
|
998180808787ffff |
|
VISUAL
colorHash
|
07000002180 |
|
VISUAL
cropResistant
|
615311310c2d6d42 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.