Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC5185B64244793B827383D8AE61B35E73A5C0C5E32B025B57B9839CDAD6D28DC2B50D |
|
CONTENT
ssdeep
|
48:TbtM+S4FMIcg/ubDoBGBsPSaus5C7HMzU36XAluF8CWWox8pXWu4ISelL:T++Nbcg/z0sPTTznwg8CWtWWeSAL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db6667346cc98c19 |
|
VISUAL
aHash
|
183c3c3c3c3c3c3c |
|
VISUAL
dHash
|
6969696971796971 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
02002c00000 |
|
VISUAL
cropResistant
|
0000000000000000,0b9e8e8e9abeae96,6969696971796971 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.