Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14733ED305800DC3701CBA6D5A236576A62F69340CA231689FAF4C3BD6FEED68CE77165 |
|
CONTENT
ssdeep
|
1536:C7vsIxg44piTJh8txihqrsixuBy0H0zGuMZaHleG9MmTXfN4/LRNWGj7:C7vSlTsIXfN4B7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f02a129f79634e3 |
|
VISUAL
aHash
|
0908001c0000ffff |
|
VISUAL
dHash
|
dbd3646833323510 |
|
VISUAL
wHash
|
3f39303c0000ffff |
|
VISUAL
colorHash
|
0b000480001 |
|
VISUAL
cropResistant
|
8080800000000010,80b4a9e4d85a7a38,3232322aa98cadd5,6200000020121a3e,cbd1f36c7853b235 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.