Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147036646CB30493346134BD4B7EBA7AA42782311E95618FAE33C9266678FC9C3387757 |
|
CONTENT
ssdeep
|
768:RCm5ZIvk72a0hviAimoviAimCtiUibCyiIiWiAijiaeAKi0iAiIikiWiSi1iIeLw:XIVJRGJRarCjFPN6Le1ZldhTPYNeSzwC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f40a4f300f4a7d8f |
|
VISUAL
aHash
|
00ffffffffc3ffff |
|
VISUAL
dHash
|
ae96329e9e968640 |
|
VISUAL
wHash
|
0042c6c2c3c3feff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
9e16929e9696e804,c0e0432b2343c4e0,4541002101c04145 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.