Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CA37A33411935274437C6D530A55B3BD2A69E4FFAA70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:JS/y5NojU0Lz4NP3+mZY9svblTOCVrz0ciRwW8dTFtiuCa28y2OZL:aU0Lz4NP/y9svbliCd9TFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762b53ad52ac549 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
9c8cc6c2c8cdf398 |
|
VISUAL
wHash
|
00e7f3302004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
2204a081185880a0,940cc6c2c0c9cdf3 |
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.