Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130A36933415835274437C6D530A55B3BE2A68A9FFAE70A010EECD7EA1BFACA0744711A |
|
CONTENT
ssdeep
|
768:zedG6rxcLz4NP3+mZY9svblTOCVrGZgFQHjKlFtiuCa28y2OZL:UqLz4NP/y9svbliCdwYHFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f42acd69c169 |
|
VISUAL
aHash
|
00040000000001ff |
|
VISUAL
dHash
|
1c2cc848c9cd8fb0 |
|
VISUAL
wHash
|
00c4e0203f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,9c2c5c48e9cdcd0b |
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.