Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162225133B600CD2A8E9B568CF2C09588415ED346FB3148CAB1A491FF7BC4DF169993AD |
|
CONTENT
ssdeep
|
192:uc3JO/zdCsiy0/W1sUx/McnthWeNWbnfMmUU8VComLV:+/pCsiyJ0fMmUFComLV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1be464f0e4649b |
|
VISUAL
aHash
|
000c0c0c0c00ffff |
|
VISUAL
dHash
|
5859797959460000 |
|
VISUAL
wHash
|
ec0c1c1c0c80ffff |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
5859797959460000,9a98a6beb636a2a6,9859d9f9b9195906 |
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.