Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D193FAB522516A3F1043C3F0D724A63AA3D6E94AD733CDC6E3E8832755CDCE89D254A9 |
|
CONTENT
ssdeep
|
768:fGcM9ewcUmBU4BKMHQO/NyC8YwyKBXicM9ewcUmBU4BKMHQO/NyC8YwyKBX6q902:Qq90IgY0rkmUbKCOzP70sO6Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
ef879f9fdfffffff |
|
VISUAL
dHash
|
cb2e3131b165304d |
|
VISUAL
wHash
|
00001c1c5c3cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3131b165304d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)