Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102124133B600DD2A4997668CF2C09688451DD386FB3148CBB1A091FF3BD4DF069997AE |
|
CONTENT
ssdeep
|
192:y83JadylCQvLUFsx7McnthWeNWbnfMmUU8VCoh:mylCQvLafMmUFCoh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e92cb6639467949c |
|
VISUAL
aHash
|
8181999999c1c1ff |
|
VISUAL
dHash
|
2b33333333130b00 |
|
VISUAL
wHash
|
8181999999c1e3ff |
|
VISUAL
colorHash
|
060012000c0 |
|
VISUAL
cropResistant
|
2b33333333130b00,a6beb2b0b2b2b6b2,8531f2b271313105 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.