Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178A36933415835274437C6D530A55B3BE2A69A5FFAE70A010EECD7EB1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:YJLz4NP/y9svbliCdBWv8HZFtiuCa28y2O9:cmAsWua |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c672f438994dc569 |
|
VISUAL
aHash
|
00042000000000ff |
|
VISUAL
dHash
|
0c0cc4c8d9cd8fb0 |
|
VISUAL
wHash
|
00c4f0700d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,8c0cccc4c9cdcd1b |
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.