Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCF142E1C418ED37035286D5FBF57B4BB6D1C745CB02098093F883AB9BDAC60CE26699 |
|
CONTENT
ssdeep
|
96:TkCXwYFMSfuSTItb8v67MYX/ytv6FNwvFAQetXZHFNje2aXZX/JoytU6bU7lGJ:Q+wYjjMl8iIo/yd6FBrzK22XCy+EU7lA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e66699d9c9988c66 |
|
VISUAL
aHash
|
ffe3c3c3e3f7ffff |
|
VISUAL
dHash
|
0a0e0f2e4e0e0004 |
|
VISUAL
wHash
|
00c3c3c323233f3f |
|
VISUAL
colorHash
|
07e00200008 |
|
VISUAL
cropResistant
|
0a0e0f2e4e0e0004 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.