Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD32BD31604EAC3B61B3E6E992A2273B33D9D303CA0766465AF543795FD3D99EE17040 |
|
CONTENT
ssdeep
|
192:qiEV1udPNtnqhJj6ttFsk/EFSAHX+ETJos:isdPNQgW9TKs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99333366cccc3399 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
4d4d32b2b2300c14 |
|
VISUAL
wHash
|
27272f3f38382020 |
|
VISUAL
colorHash
|
07410000400 |
|
VISUAL
cropResistant
|
a88c8e868ea233aa,4d4d32b2b2300c14 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.