Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198F2E721A080953F6AC35AE0E76A6777B7C84380C3065B9615FD8248EFE6C49EE3F574 |
|
CONTENT
ssdeep
|
768:FSPpda44ok/fKiVxouktVRT45Aa/G+7GedpTscgVdsYR:gm44o2iixxS6Ede/TGVdz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9696696979396938 |
|
VISUAL
aHash
|
0076260606000000 |
|
VISUAL
dHash
|
ccccecccccd22945 |
|
VISUAL
wHash
|
007e7e7e6e7e0038 |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
a0b0aab2a0b8e0a2,ccccecccccd22945 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.