Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162224233A600CD2A4D9B65CCF2C09689515EC389FB3108CAB1A491FF7BD4EF0699979D |
|
CONTENT
ssdeep
|
192:9p3JEYcVcCxxUA0tKdIsMcnthWeNWbnfMmUU8VCooJ:dcVcCxxUNDTfMmUFCooJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc740f8ccc |
|
VISUAL
aHash
|
c7c70707c7ffffff |
|
VISUAL
dHash
|
9c9edc9c1c400800 |
|
VISUAL
wHash
|
07070707073f3f3e |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
9c9edc9c1c400800,6a8e6a706896fa00 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.