Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F530E30906069370283D2CAA739EB4F73C28296CE230B0177F8975D5FDBE61DD66666 |
|
CONTENT
ssdeep
|
1536:Ym6eyD2+ZGwAN+3eeegeeereeeqeee6OMBLpZZU8XOg3O6+4fvZbZC4CQBaAF:tywN+oXOg3O6+4fvZbZC3QwK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f007787a03f1cc1f |
|
VISUAL
aHash
|
8080f2e404c0c0c0 |
|
VISUAL
dHash
|
0206c6c8488c8c91 |
|
VISUAL
wHash
|
c0c0f2eefcf4e4c0 |
|
VISUAL
colorHash
|
39000000007 |
|
VISUAL
cropResistant
|
958da93356562723,4652a2829282bada,0206c6c8488c8c91 |
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.