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
|
e93c3cccb3928ac6 |
|
VISUAL
aHash
|
c181fbefebfbfbc3 |
|
VISUAL
dHash
|
170793dadab2d28a |
|
VISUAL
wHash
|
818141cbeb5afbc3 |
|
VISUAL
colorHash
|
0e200038000 |
|
VISUAL
cropResistant
|
170793dadab2d28a,4800c8cc2443c7c5,4b433198d8d08d4d,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.