Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12224116379163522103FC3DB606B173ED1C1DB8FFA930A815AF8C3B91AF9C90B696159 |
|
CONTENT
ssdeep
|
1536:tggMdZRTksPEGIhIEBa4Qjoc5eIZ43XE99LeLVRRoLbfK7OG77OGW7OG/7OGQI2V:tgbjNoHkUJfJYJTJrzlPOhTdOM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73939c63891c736 |
|
VISUAL
aHash
|
2000606c74707000 |
|
VISUAL
dHash
|
ccc4c8d9c4c4c419 |
|
VISUAL
wHash
|
7e087c7c7c70702b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4ccceeb2c6f87f,800080e060800080,800080d0d0800080,800080c0c0800080,a0808c8c8ca08082,ccc4c8d9c4c4c419 |
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 663 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)