Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B733EF71504B593F9A8792C6BB751B5AA3C6834BCB120E08B7F9835BDFC2D20FC1A650 |
|
CONTENT
ssdeep
|
768:73HmluZ7qCillLOoJYfS1Pkk8Pcmb0Z00nuOKXb5n4bGn8gPaf9T4hOf4MetgPoH:E9b8kmzSn7TMn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d35fa430aa4b32e6 |
|
VISUAL
aHash
|
00b83c3800007cff |
|
VISUAL
dHash
|
5850585050d8d180 |
|
VISUAL
wHash
|
a0fc3c380800ffff |
|
VISUAL
colorHash
|
16403010000 |
|
VISUAL
cropResistant
|
e0f0e3c393aa9ba7,9898989998a49299,50e8c0c0c0808088,585250d850d8d850 |
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 198 techniques to evade detection by security scanners and make reverse engineering more difficult.