Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA37733411935274437C6D130A95B3BD2A69A5FFAE70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:CO62cLz4NP/y9svbliCdmIIIIIApoGXB1jyFtiuCa28y2O9:COXimALXB7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c663b93ad069d712 |
|
VISUAL
aHash
|
00002030040000ff |
|
VISUAL
dHash
|
dbc7c9c0cc4cd0f8 |
|
VISUAL
wHash
|
007f74744e260cff |
|
VISUAL
colorHash
|
31208000010 |
|
VISUAL
cropResistant
|
0080900030308080,dbc7c9c4c8cc4cd0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.