Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DA37933411975274437C6D130A55B3BE2E69A4FFA970A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:YALz4NP/y9svbliCdxSZiLFtiuCa28y2O9:HmAWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f9329d6d9643 |
|
VISUAL
aHash
|
00007000040460ff |
|
VISUAL
dHash
|
98ccc4e2ccccc3b8 |
|
VISUAL
wHash
|
006c7038260effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
0c324c4d4c4c2000,c004800158588090,9888c4e0caccccc3 |
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.
Pages with identical visual appearance (based on perceptual hash)