Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131A38A33411935274437C6D430BA5B3BE2E69D5FF9A70A010EECD7EA1BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:MLz4NP/y9svbliCdwW5AAiFtPbuCa2GG2AESi:SmAUR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc3a9d6bc50a |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
9c8cc2cac8c9c3e8 |
|
VISUAL
wHash
|
00e7f33028207fff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
c100c8c14e4e8288,960cc6cac0c8c9c3 |
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.