Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1A30BA0E6C0FD1214A780C6B0DFE685F3BB011AFB980E9035DDDBD6B2D98EB01A7555 |
|
CONTENT
ssdeep
|
1536:6kiNZxnrDTguQ2jG6X43QrkunO6czQ2N0msQw:6oPGO6MVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc133b66742d7934 |
|
VISUAL
aHash
|
003c7afbf3703010 |
|
VISUAL
dHash
|
f8f4f6f6e6e3e2b2 |
|
VISUAL
wHash
|
003c7efbf7f13010 |
|
VISUAL
colorHash
|
0fc00018000 |
|
VISUAL
cropResistant
|
fefefefcdcfcf87c,6070703078e7c178,08304d4d4d0c2000,f8f4f6f6e6e3e2b2 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.