Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11573AA23D3A3491651BAD1D8B1A797551682438DD7070FB0A3ECA3BE7DCECB239522D8 |
|
CONTENT
ssdeep
|
1536:EeerM3eejeA0eAFe1eeeeeeeeAAeFeAmeDeA6eceAKeAD1ES4KNe6EAAiewHAAUM:mauTIoBJtPABJzJ62Jm9BJtPXlJ+2JWE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16c3c6931cec7c3 |
|
VISUAL
aHash
|
00007c7c687c7e44 |
|
VISUAL
dHash
|
96b6f0f0dad0f08c |
|
VISUAL
wHash
|
40007e7e687e7e4e |
|
VISUAL
colorHash
|
03000030000 |
|
VISUAL
cropResistant
|
3626e4e092d0d0b8,9cd9d0848e968c0d,96966a6496962937,96966a6494962936,96966a6496962936,96966a6494962936,96966a6494962936,5777675777777777,69b6b6b133b0b676,a6a2a2a2a2a6a6a2,2bcbc9f92d2d250d,96b2b6303131b3b3 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.