Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11024226379163422103FC2DB606B173ED1D1DBCBFA930B815AF8C3B91AF9C90B696159 |
|
CONTENT
ssdeep
|
1536:HWgMVZRTksPEGIhIEBa4QjozpzI1etBm68B09LeLVRYMywQY7OG77OGW7OG/7OG2:HObjIpTtBhuJfJYJTJrMoPM1PdOC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73939c63839c726 |
|
VISUAL
aHash
|
6000606c74707000 |
|
VISUAL
dHash
|
cc44c8d9c4c4c419 |
|
VISUAL
wHash
|
7e087c7c7c70702b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4ccceeb2c6f87f,800080e060800080,800080d0d0800080,800080c0c0800080,a0808c8c8ca08082,cc44c8d9c4c4c419 |
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 664 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)