Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188C11030626C5D3BA147C2C9DBB0E77533D58182DF0B23099BF896794B97E92EE2A440 |
|
CONTENT
ssdeep
|
96:yE9zk7+Q5cvW27vNIP2CZWQghuZCAqHVww8R9Z281ADCi9m:1U+QyW014bgY81ww6mF+i0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6771919666c4c59 |
|
VISUAL
aHash
|
00ffffe7ffffffff |
|
VISUAL
dHash
|
0000140c0c000000 |
|
VISUAL
wHash
|
00e7c7c7041c0c0c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0808040c0c000000,9110083032300810 |
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 185 techniques to evade detection by security scanners and make reverse engineering more difficult.