Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BE2967161046B3B02E3C3EAB360671FB2E2824ADB93061653FD835D0BE6E54DE77526 |
|
CONTENT
ssdeep
|
384:reFoHkj2/wq1IJ101FyGRxqllono4+GM4vuuAFqTr81/Hs+/L3n5ILIYsOy2+y9B:reFo4jll/wdTrFKG7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412e939b8e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
cccc48c8ccccad00 |
|
VISUAL
wHash
|
04fc3038040effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880880458988000,9ccc48c8c8cccc2c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.