Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDA38A33411875274437C6D530A55B3BE2E69A4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:/SkZ5RRtLz4NP3+mZY9svblTOCVr4JpuvxUgkRQFtiuCa28y2OZL:7nLz4NP/y9svbliCdrvPFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362bc29ed03c716 |
|
VISUAL
aHash
|
00002400000004ff |
|
VISUAL
dHash
|
ccacccc8e0c8ccbc |
|
VISUAL
wHash
|
00007c7c7038ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
0400a081303080a0,cc12ecccc8c0c8cc |
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.