Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8A38C33411935274437C6D430A95B3BD2A69A5FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:FffLz4NP/y9svbliCdpKRlIDfFtiuCa28y2O9:9mAlEE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43add0ac723 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
948ccae2c8cde1a8 |
|
VISUAL
wHash
|
00e7f2302024ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
82048081185880a0,940ccac2c2c8cde1 |
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.