Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1B286625355193DE0278BD4F320B339B1BBA145E61B6108AB7C21B867C9C8DFA779C8 |
|
CONTENT
ssdeep
|
384:mBvIZHRwPo7xl69tCseNffaCinwiLxkc0V1AXBlBYPEQEX:mBgZawn69tdxCi3Ld0V1ARlwEQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8cec738c7c23847 |
|
VISUAL
aHash
|
ff83d3ffc3cbcff7 |
|
VISUAL
dHash
|
29363660979e9c4c |
|
VISUAL
wHash
|
b9838393c1c3c3e7 |
|
VISUAL
colorHash
|
070c0006000 |
|
VISUAL
cropResistant
|
29363660979e9c4c,401363cb13808040,4ecebdbed4bc9a4f |
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.