Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CE2A661A2AB246B4B3782CCFD165F69F0C76125CB374C4163EC0B9A5BEECD1791620E |
|
CONTENT
ssdeep
|
768:KdyFCVMgZwVMwuaFlxLgadghF8BFIMF6ltSzZSHamzo69pLXxskj:hFCVMgZwVMwuaFlxLgaqF8BFIMF6ltSe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b40f32dc613ec71c |
|
VISUAL
aHash
|
000018017bffc7e7 |
|
VISUAL
dHash
|
def861e7962e3e0f |
|
VISUAL
wHash
|
00003d037bffc7e7 |
|
VISUAL
colorHash
|
030030000c0 |
|
VISUAL
cropResistant
|
e2a0a78383c383a9,63e79696023c1f0d,dcff9e6963e7d696,5148cbcecc484968,d151595959c98f35 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.