Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BC263734046DA3F016797E07360BF58A1C38209DB845104E7F9679E6FE7CA2FC266A9 |
|
CONTENT
ssdeep
|
192:iK8DnLLW6BRb4GCdYtZglVq3DIgV0dCpO57Vjz1ZSQLihDIxV0G:iHLpBoOtGeDII0kQX/tLeDIP0G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c7cc3067c63272 |
|
VISUAL
aHash
|
e68fe7f18387ffff |
|
VISUAL
dHash
|
0e3b4c4b0f1c461e |
|
VISUAL
wHash
|
8683a7a1878787e7 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
0e3b4c4b0f1c461e,b058d9c9c3d65c2d |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)