Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14103877142DA9ABB1143E0D6ED18BB0E35D587FFFB6B078013F45A3E6AD5C90C928258 |
|
CONTENT
ssdeep
|
384:pHTwtha1Cay9dCHUatq+YTm2d/ROn5OFGoFrs8ecc7EC6jYy5bI8a:gyCaecHUQRYFd8nYNs8c7b3y5na |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b44a4d729ba59b31 |
|
VISUAL
aHash
|
0000ffffefe7e3e7 |
|
VISUAL
dHash
|
a0c038240e0f0606 |
|
VISUAL
wHash
|
000000ffe7e7e3e7 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
894950d9963a2e6d,c4c52b2b2babe1c1,30360e0e0f06160e,3377a7a7a7a6a6a4,008048a0c0609840,8c8cccd76569d9e4 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.