Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165152AF013281E7B61C7C29DE7747DE726EAAE92DAC7444893AE4AE857C3CC8D9055C0 |
|
CONTENT
ssdeep
|
6144:0BxECZytF2uoSbDbU9YMS7ePpfoLYh2qqXSOVmRDqYuh87bjXIsONoUcTLeu7e5:EnAtOSb/UrtCzqqXSQaDqYvMaC5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87f80f07f8d8065e |
|
VISUAL
aHash
|
feffffff27273f3f |
|
VISUAL
dHash
|
850268164e6c6878 |
|
VISUAL
wHash
|
0093fbd303272f2f |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
850268164e6c6878,a3b6b53e2b6dc5ce |
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.