Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F327333E500DD2A4D9B91C8F1C09689521ED349FB3148CAB1A491FF7BC5DF069A939D |
|
CONTENT
ssdeep
|
192:IydBDLYcIcCsj0SAj2OnK8kGxMMcnthWeNWbKfMmUU8VCod8v:1gcIcCsj0SAj2OnKHfMmUFCod8v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c949b6be4ba2a05b |
|
VISUAL
aHash
|
f8f8f8f8f8ffffff |
|
VISUAL
dHash
|
f362d2d253810000 |
|
VISUAL
wHash
|
1010101000070d0c |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
f362d2d253810000,aa82b0abbba8a49e,fef873fce8e9fcff |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.