Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7030060B1823C67A837E1A0B4F62B1C70CBC376D2485919D3B83AD76BCACE85875771 |
|
CONTENT
ssdeep
|
768:POXcU4KyF0dgcLwo8Yk5LfsTLfJ6LfJiLfs8LfseLfoGrC3TzhBeC3L:NKjLyYk5LfsTLfJ6LfJiLfs8LfseLfoD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa55062ad5f9792a |
|
VISUAL
aHash
|
0000c0ff11111191 |
|
VISUAL
dHash
|
e4a4128a65252525 |
|
VISUAL
wHash
|
0000daff939191ff |
|
VISUAL
colorHash
|
30003000180 |
|
VISUAL
cropResistant
|
e4a4128a65252525 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.