Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199A3CC234259752B4437C2C130AA5B3BD1A6D99FFEE709005EDCCBF62AF9C90B42A15D |
|
CONTENT
ssdeep
|
1536:WtpR4nXBKpSpFl26v9xrzCbLQFhbBjxSzK:KUM2xrzCbLQFhbBjxSzK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d0717137d4d |
|
VISUAL
aHash
|
001f0f3e3f0f01c7 |
|
VISUAL
dHash
|
dcbf58fcdcb8b30f |
|
VISUAL
wHash
|
000f0f3f3f0f01ef |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cfcdcb9f30f,dcbf3cfcdcd8bb77,8d951593a513c5c4,65074b456367666d,68100c32320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.