Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148D241B30145D93F026782D57B34BBD8A1C38209DFC47504FAE8274B6FA3DA1AD265A9 |
|
CONTENT
ssdeep
|
192:+OEbm2gvLqqBRb4GCdYtZglVuvDIgN0lVMNO5TVjzNpiQLihDIxN02:+Zgv1BoOtGeDIQ0cMX/dL6DIT02 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c5cc3067c73272 |
|
VISUAL
aHash
|
ee8fe7f18387ffff |
|
VISUAL
dHash
|
2a3b4c4b0f1c420c |
|
VISUAL
wHash
|
868ba7a1878783e7 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
2a3b4c4b0f1c420c,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)