Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA93627264556E360293C2D062F53B0FF28AD35ACE970A4657F8C3AD6BC7ED4CC62984 |
|
CONTENT
ssdeep
|
1536:T03joZlZqY872Ie8U2IC34G2YNkpSWVNV:T0DCG2YNkdVNV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9abb644cd3539833 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
5c26797979716854 |
|
VISUAL
wHash
|
24bf3f3f7f3c0000 |
|
VISUAL
colorHash
|
1ac00000080 |
|
VISUAL
cropResistant
|
b0e0696967ccc1a1,80a284a4a8a18284,5c26797979716854 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.