Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3035574124049BB52C3C6F5B5A0AB2EE2A9D389C927DA49F3F8C34B6BCBC41CD55364 |
|
CONTENT
ssdeep
|
768:A3Vv53dE9MbXRk9n9qFBJTKIztMhqx0Gi6PfLm196gH4/:EDbaJ8UId |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9d2d768a5d68629 |
|
VISUAL
aHash
|
ffffffc381818183 |
|
VISUAL
dHash
|
c097ce0f132b2307 |
|
VISUAL
wHash
|
ffffffc301010003 |
|
VISUAL
colorHash
|
13008000e00 |
|
VISUAL
cropResistant
|
c097ce0f132b2307,39194d5d49450b0f |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.