Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A37B33411935274437C6D530A55B3BD2A69E4FF9A70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:p9YLz4NP/y9svbliCdKlDLwuFtiuCa28y2O9:amAN2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362b43add28d52b |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
14ccc6c2c1cdb398 |
|
VISUAL
wHash
|
00e7f2302014ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
2004a081185880a0,148ccec2e0c9edf3 |
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.