Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18ED274731045E93F026782D06360BA5DA1C3420DDBD85681F7E8178F6FABEA3EC255AD |
|
CONTENT
ssdeep
|
192:4ijzN6BMML7HBRb4GCdYtZglVYmvDIgV0b8+O5M+VjzK3EjQLiZgDIxV0D:poMMPBoOtGPDII0/IXTMLpDIP0D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c7cc3067c63272 |
|
VISUAL
aHash
|
e68fe7f18387ffff |
|
VISUAL
dHash
|
0e1b4c4b0f1c461e |
|
VISUAL
wHash
|
868ba7a1878783e7 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
0e1b4c4b0f1c461e,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)