Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D234A726722B4BC83DB91EEF7382D46B2C1988DF8C74550B5C95A8D23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:aA+EsZx8/G8fRF4uDawHM5BFwZM5B+qN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAU:aA+EsZ/85OuDawHM5BFwZM5BHN2/y9d0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afbcd4c3c4b0c5c1 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
6d71715d4d414d45 |
|
VISUAL
wHash
|
ff819981bda1a1b1 |
|
VISUAL
colorHash
|
19007000000 |
|
VISUAL
cropResistant
|
6d71715d4d414d45,edf1b3ccc8c0ccc4 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.