Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DA36833411935274437C6D530A55B3BD2A69A5FFAE70A010EECD7EB2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:OS1etFk1bLz4NP/y9svbliCdeoSQCog6FtiuCa28y2O9:LmAeKp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd32d12c9402 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c49c3c3c8cc6698 |
|
VISUAL
wHash
|
c0fd71300c063eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
000180815c588090,1449c3e3cbccc434 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.