Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BA38933411975274437C6D130A55B3BE2E69A4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:4SkZNdBLz4NP3+mZY9svblTOCVrkoQ1PB7tEo+ErtmGFtiuCa28y2OZL:UBLz4NP/y9svbliCdanFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c74abd29ed46c612 |
|
VISUAL
aHash
|
00003420000004ff |
|
VISUAL
dHash
|
cc9cecc4d0c8ccbc |
|
VISUAL
wHash
|
00007e7c3038ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
0400a081303080a0,cc12ece4c0d0c8cc |
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.