Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F561AC32608471372587B2C0AB033EA577A34348EB5B6A25B4FD455B5EDAF46CD33923 |
|
CONTENT
ssdeep
|
48:QmcKTNmTNMhUOcbtATtQW6Gr/yXK517yx29RnzHUBq:jlwAV19PB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97f75d8370cf008c |
|
VISUAL
aHash
|
feffbffd677f3900 |
|
VISUAL
dHash
|
48486c5d8dc97332 |
|
VISUAL
wHash
|
fceebeac45253900 |
|
VISUAL
colorHash
|
0f038000000 |
|
VISUAL
cropResistant
|
48486c6d5d8cc973,1f0f030100406020,d4ccc97373739a9a |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.