Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FA38833411975274437C2D130B55B3BD2E69A5FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:OSkZv91Lz4NP3+mZY9svblTOCVrYwgzX8EINIIFtiuCa28y2OZL:41Lz4NP/y9svbliCdQX8FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bd39c542d33a |
|
VISUAL
aHash
|
00002420000024ff |
|
VISUAL
dHash
|
cc90c8ccc0c8ccd0 |
|
VISUAL
wHash
|
00007c743878ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
0400a081303080a0,cc16e8ccc0d0e8cc |
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.