Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0A2E87381C1577722B3C7A4A620671DB38EA25BCE192E29C1D6C28F1EC1FB5CC7A165 |
|
CONTENT
ssdeep
|
384:mEaKy/YUzyPDMDUMh29SFxojltNfwxkr2iBAmLZ+DFlEWyRGgdYfw:3anYUmSUMhpxKPN4xkr2iBAmLZ+RlEWe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e93ac192c6c38eb3 |
|
VISUAL
aHash
|
fb8181c381c3ebc3 |
|
VISUAL
dHash
|
3b2b23272f2b1b23 |
|
VISUAL
wHash
|
ff818183c3c3e3c3 |
|
VISUAL
colorHash
|
07201008000 |
|
VISUAL
cropResistant
|
3b2b23272f2b1b23,f8d496828a8e86f0,9a99e9e3efa89296 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.