Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148043AFC23209ED900CA83F5FF2562E8B68BE5AECA564E45D2FC871925C1CBCCD19581 |
|
CONTENT
ssdeep
|
1536:NqzuOS5NHShh03ITNNFtDkxh+0Ub5I8SzGVuNyF1bGVVpreODpFJd4/pFL5I8SzM:ZsEDPk/PWmGFV4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c9692796cdc6cc |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
490fccdccccc13cc |
|
VISUAL
wHash
|
00027f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
490fccdccccc13cc,3222191c6d6dac90,4521416969610145,4141314d4d214101 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.