Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118F29431A151AE3B40ABD2E5E3B5632B32E6D28AC947124483FD47BD0FEBD84FD22554 |
|
CONTENT
ssdeep
|
768:A6arxchCSJYoIK9Wm5rhTao/sNbBesP2w+S2BVBGeGh1:Ah6YoIKjFsP2wx2jY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcaa438a1d2acd6e |
|
VISUAL
aHash
|
f9fffbcf9fff0000 |
|
VISUAL
dHash
|
2b86373b35200322 |
|
VISUAL
wHash
|
81fff3839dff0000 |
|
VISUAL
colorHash
|
07000030001 |
|
VISUAL
cropResistant
|
2b88073f3b353703,0002020202020200,0000043232000000 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)