Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1A1E876E0401C32BC3BC585FCD6566A2223DA8DE34305E5D7D8087E62CDDA6B4D61B9 |
|
CONTENT
ssdeep
|
96:GsjufCJ4w09TBn9YLfqtSDK6qWuwFJpDg:Gsjuf+09T36JuEpDg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c665c664c765c6 |
|
VISUAL
aHash
|
3c3c3c3c3c3c3c00 |
|
VISUAL
dHash
|
6969696969696969 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
1380828082aa808c,6969696969696969 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.