Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128227373A600DD2A8E9B55CCF2C096884119C346FA3148CAB1A491FF7BD4EF069997AD |
|
CONTENT
ssdeep
|
192:7k3JUdRbtplxjzMcnthWeNWbnfMmUU8VCoFx:9RbAfMmUFCoFx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80b47fd07f422f52 |
|
VISUAL
aHash
|
007f7f7f7f7f7c00 |
|
VISUAL
dHash
|
81b8ada096b4e983 |
|
VISUAL
wHash
|
000f677f777f3800 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1c5a88200c26c169,cbcb1141a1810000,85b8ada0b6b4e189 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.