Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3D2A632B0145A3B02E781C977A17B2EB2E7428AD649144496FD87FD4BD7E08EE33791 |
|
CONTENT
ssdeep
|
768:8erbbr9Vqkc+LmrHOTwTuD7sOy2+y9BH4cLIe:Xbr9c+A9TuD7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c703b53af02cbc8e |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
48c8c0c8c8c8e100 |
|
VISUAL
wHash
|
003c70e0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,49c8c0c0c8c89ce4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.