Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185526123A200CC2E8D9B46CCF6C5D588512DD346FB3148CA71A451BF7BC5DF1AAA93AD |
|
CONTENT
ssdeep
|
192:CSdfd7MJdnS0xVngxJ1iMcnthWeNWbqUSUfMmUU8VCo1ESbFDwtzRZ3C1EF:CSdl7MYUUSUfMmUFCo1DEtb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
865bdd3c7272d888 |
|
VISUAL
aHash
|
083838673737373f |
|
VISUAL
dHash
|
e8eaf2cdc5e6e6f6 |
|
VISUAL
wHash
|
083838633737373f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
e8eaf2cdc5e6e6f6 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.