Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3F142E1C458DD36072246C5FBF56B5BB7E1C389CB06098053F843AB9BCEDA0CA11699 |
|
CONTENT
ssdeep
|
96:TkH4z8h7MSfuSThtV9EwMt8LwvFxeNXiHFNexXGX/Tcyt7C6jGR:QH4z8hhjVj9EwMyhMOwXgykSc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464939b9b649393 |
|
VISUAL
aHash
|
fff3f3f3ffffffff |
|
VISUAL
dHash
|
0626262630000000 |
|
VISUAL
wHash
|
00c3c3c3d0f0f0f0 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0626262630000000,fcf0b3fcf0f9fcff |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.