Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109A37A33415835274437C6D530A55B3BE2E68A9FFAE70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
1536:CPyLz4NP/y9svbliCdUOfFtiuCa28y2O9:4cmAnb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a816dc569 |
|
VISUAL
aHash
|
00040000000001ff |
|
VISUAL
dHash
|
1c0c48c0cdcd1fb0 |
|
VISUAL
wHash
|
00c4f0300f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,9c2c4c48d1cdcd1b |
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.