Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7723F3476629A3B05D7C2E277309B1FABC8D18AEA531684A2F6C78D8FC6CC9CD21051 |
|
CONTENT
ssdeep
|
384:s9ATjwJyRobsO++0xhJUjX3fQe/2Yb9ft:s9sjwJyRobCLJUjX3fQe/209F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87457a39a13cc6e5 |
|
VISUAL
aHash
|
003c7626663000ff |
|
VISUAL
dHash
|
94c4c4ccc6e434c5 |
|
VISUAL
wHash
|
522e7e7e661000ff |
|
VISUAL
colorHash
|
38006000240 |
|
VISUAL
cropResistant
|
94c4c4ccc6e434c5 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.