Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DB3AB33411975274437C2D530A55B3BE2E79A4FFAA70A010EECD7EA1BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:JDrLz4NP/y9svbliCdrEJiijfyCYFtiuCa28y2O9:NmAiEJRR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c5cd966c2d32 |
|
VISUAL
aHash
|
3b0f838fcff1f0fe |
|
VISUAL
dHash
|
e2ba1b3d182602b8 |
|
VISUAL
wHash
|
1b1f038787c0f0fe |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
e2ba1b3d182602b8 |
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.