Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5426233E600DD2D4D5B958CF6C09688515ED34AEB3248C6A2B091FF7BC4DF129A93AD |
|
CONTENT
ssdeep
|
192:eP3JUYcdcCwFz3Z0m3qxheJMcnthWeNWbtjzqaKVomfMmUU8VCoVJ:0cdcCwFz3qregjzbmfMmUFCov |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf97f1c020f8cc0e |
|
VISUAL
aHash
|
efaf1f0f1fffff81 |
|
VISUAL
dHash
|
48686c7c6ce00b2b |
|
VISUAL
wHash
|
e7070707071fff80 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
48686c7c6ce00b2b,4926d9c8e4c81221,4028504969692408 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.