Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19633767211466A2F009341E1971CF66AE3C6DB0DCBA39E47B6F8C33752CADB0DD255A8 |
|
CONTENT
ssdeep
|
768:sskfIGCUUkuZkwdjU7QinNe+8swimJnUkfIGCUUkuZkwdjU7QinNe+8swimJnpRP:MqAR0pyeaWHP0xxTAa82 |
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
|
e4ee8cae98b68c8c,010084304c4d300a,d32e34ccd4cccc33,9415972b14aaca32,452549d5e5710145 |
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)