Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB7352729114283761BB79DAF124771AA2D3D70FCA8346E1A2F8939A0FD6C91FC1744E |
|
CONTENT
ssdeep
|
1536:in+XWEvrjGaca4WisWeeCQQ439btnczwLnPfDAn4XbD+v0rTrsjN9feucQavmKvm:8+XW8GT1HLtJcsbX04Lys/gBtP1mmKO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b437c37318996c6c |
|
VISUAL
aHash
|
66e783dfc3c3ffff |
|
VISUAL
dHash
|
c8c9363026060006 |
|
VISUAL
wHash
|
0000c3cfc3c3ffeb |
|
VISUAL
colorHash
|
07400008080 |
|
VISUAL
cropResistant
|
c8c9363026060006 |
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 217 techniques to evade detection by security scanners and make reverse engineering more difficult.