Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1801250E1D064DD37071285D9B7F56B2B76A6C309CF010A8453F863BA57CFDA0C7229AA |
|
CONTENT
ssdeep
|
96:Tkouoz8B3CSTwio8owSFHEC834m8bXbhFPeAeXAHFzexXzHFreEkXMX/JiST1+Ae:Qouoz8BP8YPy5yAP8VgElX578F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2f6c27c0cd88379 |
|
VISUAL
aHash
|
f7e7e7cf81ffff3f |
|
VISUAL
dHash
|
0c0d4d2a2b8b20d0 |
|
VISUAL
wHash
|
f7e7e7cf81040c0c |
|
VISUAL
colorHash
|
07016000040 |
|
VISUAL
cropResistant
|
0c0d4d2a2b8b20d0,05093e7669614569 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.