Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15793F9B11245673F114383F8D318B57AE3C2E99DD7638D82E7F8832759CAC98AD39099 |
|
CONTENT
ssdeep
|
768:jAOLkFwo0U0r0wnAknQQnvsccgwYk7XAOLkFwo0U0r0wnAknQQnvsccgwYk7Xk4y:JWJ4c0Ig10bC0UbKCOV1w0OOp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb939f9fdfffffff |
|
VISUAL
dHash
|
cb2f3531b575300d |
|
VISUAL
wHash
|
00001c1c5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2f3531b575300d,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)