Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDA35833411935274437C6D530A55B3BD2E6994FFAA70A010EECD7EB2BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:sSvy5NQmrbLz4NP3+mZY9svblTOCVrIrMbQV+I1FtiuCa28y2OZL:IrbLz4NP/y9svbliCdTOFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c742f43ab139cd46 |
|
VISUAL
aHash
|
00203000000000ff |
|
VISUAL
dHash
|
98c0c0c8c8c7cec8 |
|
VISUAL
wHash
|
00f47878263707ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
ce00c00030308080,98c8e4c2c8cdf7ce |
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.