Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA3ED234269762B5437C3C1307A5B3BD1A6998FFAE709014EEDC7F62AF9CA0741A11D |
|
CONTENT
ssdeep
|
768:VGMJtpR4nXF6YjOpSpFlTC6rrWrCLcpIh8RWBMvVd/tEz:V1JtpR4nXBKpSpFl26vwCwM8gBMvVdyz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d01d31f7d2d |
|
VISUAL
aHash
|
00170f3e3e0f01ff |
|
VISUAL
dHash
|
9cb73cfcdcbcf700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cfcdcb9f700,9cbf3dfcdc9cb377,0a5535a326ed64c4,6a878b81a7a7a68c,68000012120c11d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.