Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA5232F29409953B1763C6E9E3B2F64EFB81C189C993024AC1F5D35D2BE2DB1ED0A215 |
|
CONTENT
ssdeep
|
192:wgDqzpnFbOmP0wtrJVozSmevTWqLocpC5cTBr1R:spFCmtrJVQevTWqL7pcIBBR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e95e9e6361196594 |
|
VISUAL
aHash
|
c0dec0c1e1e1ffff |
|
VISUAL
dHash
|
3b38030b4b4f3024 |
|
VISUAL
wHash
|
809c80c0e1e1ffff |
|
VISUAL
colorHash
|
060060000c0 |
|
VISUAL
cropResistant
|
3b38030b4b4f3024,e0d2e8e8f0b4342a |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.