Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101A38B33411975274437C6D130A55B3BE2E69E4FFA970A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:Tn1Lz4NP/y9svbliCdPbU3FtiuCa28y2O9:hmAaUs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f93abd699641 |
|
VISUAL
aHash
|
00006000000460ff |
|
VISUAL
dHash
|
d8ccc8c8cc4cc3d8 |
|
VISUAL
wHash
|
006470381e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
0000800158588090,d8ccc8c8e8cc4cc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.