Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19EA37B33415935274437C6D530A55B3BE2E6899FFAE70A010EECD7EA1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:+5Lz4NP/y9svbliCd9HLrFtiuCa28y2O9:gmAqc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d276f42bc169c549 |
|
VISUAL
aHash
|
00040000000001ff |
|
VISUAL
dHash
|
0c2c4448c9cd1fb0 |
|
VISUAL
wHash
|
00c4f8202d07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,8c2cc448c9cdcd1f |
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.