Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101434BF97840F1129AB342A711EF2917737D590B240E4970E268EE8FB5B4459A07BFCE |
|
CONTENT
ssdeep
|
768:vTdsT0TQH7YMpIpxNLvHs/qtZLZuv0U+jqm+lVot6TbVPVzc+b42NB2jIGrTnzq4:RsedgDqqWt6THzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed69649656924774 |
|
VISUAL
aHash
|
00c3c3ffffffff00 |
|
VISUAL
dHash
|
9612131b37373e8a |
|
VISUAL
wHash
|
008181ffffc3ff00 |
|
VISUAL
colorHash
|
06201000082 |
|
VISUAL
cropResistant
|
1317130f37363e8a,9496321313171313,822acacaca3a8a01 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.