Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A681CDB49021CC371093D6D8A6B55B1F32C2C348CB83171A63FC97AE6BEADAEDC14058 |
|
CONTENT
ssdeep
|
48:dYpcrezW2s6WyEZVKwoHu6mlwv82GT8SIERB6ZuwqjlW2CjWf6a:0VwwwoHpZ8hT8LIwqMa/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81b83a8d7ae66687 |
|
VISUAL
aHash
|
000f77777b7b7f00 |
|
VISUAL
dHash
|
f8b2efa6d2d2e2ed |
|
VISUAL
wHash
|
000f737a7b7b3f00 |
|
VISUAL
colorHash
|
070000003c0 |
|
VISUAL
cropResistant
|
f8baefeed2d2e2ec,8484858181848494 |
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 391 techniques to evade detection by security scanners and make reverse engineering more difficult.