Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B043BFC23605EDD058AC3F5FF2063E8A38AE169CA1A4D49D1FC8B2921C5CBCDD1565A |
|
CONTENT
ssdeep
|
1536:G+6ucNcxhi03I2NNFqDkxhF0Ub5I8SzGVuNyF1bTVVereOop0Jd4/pFQ5I8SzGVx:YifrUkQWWtFfV3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9299693796cdc68c |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
5517ccdccccc13cc |
|
VISUAL
wHash
|
0040ffff7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
5517ccdccccc13cc,33232d0d6c6dac90,4521416969610145,4141314d4d214101 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)