Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15924116379163522103FC2DB606B173ED1C1DBCBFA930B815AF8C3BA1AF9C90B656159 |
|
CONTENT
ssdeep
|
1536:oMgMAZRTksPEGIhIEBa4QjoBifIUtGoR+Et9LeLVRvL9JzS7OG77OGW7OG/7OGQk:oPbjoqlGoRfJfJYJTJrvAHhyGdOp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73939c63899c726 |
|
VISUAL
aHash
|
2000606c74707000 |
|
VISUAL
dHash
|
cc44c8d9e4c4c419 |
|
VISUAL
wHash
|
7e087c7c7c70702b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4ccceeb28ef87f,800080e060800080,800080d0d0800080,800080c0c0800080,a0808c8c8ca08082,cc44c8d9e4c4c419 |
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 683 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)