Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A3388B311466A2F108342E2A71CEA1ED3C5DA89C7B34E87B2ECD32755CADB0DE36155 |
|
CONTENT
ssdeep
|
768:BijkISaEEMel08VN4bQKzNeOocg2+xt9jkISaEEMel08VN4bQKzNeOocg2+xt9KI:iN1K0pyeaWAU0xxTAa8P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6d63c3c1d39c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
cb277cdccccc334c |
|
VISUAL
wHash
|
00007e7e7e7e81e7 |
|
VISUAL
colorHash
|
07086000000 |
|
VISUAL
cropResistant
|
e2ee8cae98b68c8c,010084304c4d300a,d12e34ccd4cccc33,9417972914aaca32,452549d5e5710145 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)