Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16873B732D256140390AB95C9F1635B4A7351878AC7134BB567F827BAFECECB53B21388 |
|
CONTENT
ssdeep
|
1536:9Jh1GpNX+cPUgOq6hymH1+5Wa5w72hFoey3xezW8SD2NHtzhsWncXL72re8IdUxN:KOcPUgOq6LosApBe2hk222I2222222/5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9363ccc3393c8c6 |
|
VISUAL
aHash
|
c181fbebebfbfbc3 |
|
VISUAL
dHash
|
0b27d2dadab2d29a |
|
VISUAL
wHash
|
808178cbeb58fbc3 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
0b27d2dadab2d29a,614934f415152b2b,4b433198d8d08d4d,6f6b392b2b3323d8,9783e31ce1e080c0,256caca785842667 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.