Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B552E8B53184E8076962D0E8167F522F32A289E5CCAB468C85E4F27D7EE4C9FC4D7391 |
|
CONTENT
ssdeep
|
384:R78I7IJIJIHGiaAWj2nvUwXNAfLwUWAuYx6jomrYZJp2/R2vYtF+L:RAI7IJIJIHGL2vUwXNAzwUWAyWwR2vYW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81fcfc1f03c3fc01 |
|
VISUAL
aHash
|
7f3f7f3f3f7f3f3f |
|
VISUAL
dHash
|
e0e080d0d0c0d0d0 |
|
VISUAL
wHash
|
7010703030303030 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
e0e080d0d0c0d0d0 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.