Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F62223061189D3EA05383D5D375333B31E5934AEA4B1315AAFE83B88BCAC99ED3B554 |
|
CONTENT
ssdeep
|
192:k44Dc1qxrE/nrNrc5WZg/tte8bSrFSd3kHwcC8JhStjhu:L1ciNrcUg/i8bSrFSd3kHwyhSJhu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b84d134367b8ce93 |
|
VISUAL
aHash
|
0000dfd3ffffcfff |
|
VISUAL
dHash
|
33d420371b371a40 |
|
VISUAL
wHash
|
00009f81cfd38fff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
00432323634c4d20,1230371327371840,0c3218b2b2320410,0100708888700000 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.