Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1A38B33411835274437C6D530A55B3BD2E6995FFAA70A010EECD7EB2BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:D8Lz4NP/y9svbliCdnVNKcFtiuCa28y2O9:2mA4/KP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362d53a9d49bc0a |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
90cccccaec0cd3d2 |
|
VISUAL
wHash
|
00eefc6806007fff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080810030108080,90ccccc8c82c0cd2 |
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.