Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148E2D8B21248613B563793D9B5947B3CE6EBD24EEF5248EDF3BD81C94382C619A921C0 |
|
CONTENT
ssdeep
|
768:4Zx2Yp5CtETTBG2hFEZIaFyXbFKzFvqxWL0ckhyjkUYo6kByG9kTsX0sN:Om2EZIbXgtO2Ey3YoPyGGsXZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf4ac99695c0913e |
|
VISUAL
aHash
|
ff8181ff8787ff87 |
|
VISUAL
dHash
|
6333334d2d2f271d |
|
VISUAL
wHash
|
818181ff8787d787 |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
6333334d2d2f271d,a08082e2e2a280a2,076971331571718f,9ea69498b2b0929b,636b33325b772b06,8d8d656160603f39 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.