Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127A38933411835274437C2D530A65B3BD2E69A5FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:s9FAtK2L/6zZbmL5ytR6MU+ke08IBGH6vLz4NP/y9svbliCdtrFtiuCa28y2O9:n9mA7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bd29c542d73a |
|
VISUAL
aHash
|
00002430000024ff |
|
VISUAL
dHash
|
cc90c8ccc0c8c8dc |
|
VISUAL
wHash
|
00007c7c3878feff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
4c03a081303080a0,cc12c8ccc4c0c8c8 |
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.