Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128429333A600DD2D8D9B618CF2C0958C515ED345FB3148CAA2A491BF7BC9DF069A93AD |
|
CONTENT
ssdeep
|
192:ntD3JaYcccbchkOSxQJMcnthWeNWbFe+zOBcoVmVfMmUU8VCo4:tfcccbchFGe+zOBcoVmVfMmUFCo4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4ab5b54585b5f0 |
|
VISUAL
aHash
|
f8f87838f8ffffff |
|
VISUAL
dHash
|
5371d1d111140100 |
|
VISUAL
wHash
|
6808181800ffcfce |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
5371d1d111140100,016013ecc4164927,02966a726896ba00 |
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.