Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127A38933415975274437C6D130B95B3BE2E69E8FF9A70A010EECD7EA1BFAC90744A11A |
|
CONTENT
ssdeep
|
1536:bLz4NP/y9svbliCdwjlBh3ulb74EZFtSuCa2PG2Ao:XmABl7nx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d302bc38ed28c56f |
|
VISUAL
aHash
|
00042000000400ff |
|
VISUAL
dHash
|
94ccc8c0c8cc9c92 |
|
VISUAL
wHash
|
427c7c30607e0cff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
008081207a828080,96ccc8c0e8c8cc1c |
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.