Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13222547903154E3E221B8EB4E9D2BF74A1EC474BD4A7E62DF1BC416213C6DB8D84E980 |
|
CONTENT
ssdeep
|
192:+gQqq2oMJQ6J3+3qBPrgJousEUZhESZuh4rCFMvRe301yboZGXWZc:+gQT/1SrTushZhGz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df017d21df817d20 |
|
VISUAL
aHash
|
0000187e3c200080 |
|
VISUAL
dHash
|
066030e0e04aca31 |
|
VISUAL
wHash
|
003c7e7efefa0180 |
|
VISUAL
colorHash
|
38000038200 |
|
VISUAL
cropResistant
|
066030e0e04aca31 |
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.