Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184E33BF66261A6EA62038FE4F532E369B18771BEEF12C544C2FD62A563C2CD4CC85D50 |
|
CONTENT
ssdeep
|
3072:8fictgReblrTA8Ey/D4ifmXFnR0Cw+Ggn3Is1vZjRHQzWv4rmsvs1vYSQ8yciOxv:8fictgReblrTA8Ey/D4ifmXFnR0Cw+Gc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b32699998c8c9b9b |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4d |
|
VISUAL
wHash
|
c0c0c0c0e7e7e7e7 |
|
VISUAL
colorHash
|
07202000400 |
|
VISUAL
cropResistant
|
0202020202020202,c0c0c0c0c0c0c0c0,53d01b29aaaaaaab |
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 6560 techniques to evade detection by security scanners and make reverse engineering more difficult.