Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B434E31B504ED3702C795D9A636535A72EA8345CA530688FAF9C3F91BEEC69CE33148 |
|
CONTENT
ssdeep
|
1536:WlIB49KFbTFbpFbzDjFJ9jSksIxv7sTMdrzf:G9wbxbDbzDjdjSkb7aM9zf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e152e112059d3faf |
|
VISUAL
aHash
|
00e001030103fff3 |
|
VISUAL
dHash
|
c48b0bd2471f0b0a |
|
VISUAL
wHash
|
40e1c1232307fffb |
|
VISUAL
colorHash
|
13200008180 |
|
VISUAL
cropResistant
|
f4f4f071e1353035,71e896d4d4d4c4c4,71c8b2c4c4c4ccd0,19b3b7656d6d7161,bf000b0b0b0b8a0b,34c48b4bd2474f9f,00000010303030c2,00000010101012d4 |
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 121 techniques to evade detection by security scanners and make reverse engineering more difficult.