Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149C464B0D018B63A00C757C096B99FBAB3F2A380C6520656A6F4D35EDED7D91CD1A32D |
|
CONTENT
ssdeep
|
3072:0iPkI3LK2O6+LtEFtql8r4trPEAqaRL3LtenccHi5SWZ+m0RGTZfIF6xVYX:0CdexItqly4hhSWZ1iYRIF6xVYX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b544f4fc0633cb5 |
|
VISUAL
aHash
|
000c0740ff3f23ff |
|
VISUAL
dHash
|
e0789f95d273ebf3 |
|
VISUAL
wHash
|
00000740ff7f3bff |
|
VISUAL
colorHash
|
0f600008000 |
|
VISUAL
cropResistant
|
828000c0c08080a2,7c9f958c536beb71,d4f0c97f1c869f91,f9e9f96666e68d8f,33f4e42b499e2f0b,0b3b6560f0b1150f,5b0961c343633373,9ccccca6c4c4b233 |
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 272 techniques to evade detection by security scanners and make reverse engineering more difficult.