Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F226033A600DC2A8D9B56CCF2C49589411DC386FB3148C6A2A491FF7BC5CF06AA979D |
|
CONTENT
ssdeep
|
192:r+fu3Su44MdefDxkI6x/nxawcMcnthWeNWbPfMmUU8VCoP:+efDxunxawbfMmUFCoP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2778add885588dd |
|
VISUAL
aHash
|
e7e7e7e7ffffffff |
|
VISUAL
dHash
|
4d4d4d4d300c0001 |
|
VISUAL
wHash
|
0000000000000001 |
|
VISUAL
colorHash
|
07203008000 |
|
VISUAL
cropResistant
|
4d4d4d4d300c0001,0010243232320c10,6d61310db0b27171 |
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.