Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1343285F539013A5F216B0AA4B2E1EF8BD169C308D37BC449F7E511E17BD5CA8C9483A6 |
|
CONTENT
ssdeep
|
96:T4Ib7pILUra1upc6HXV0e3LgE2ZQTW2oZyL2pjgS02JZ84/2zIOE2e6GZ2m2HMMv:TSFRk3g24duC+sVIpZh7vUuZh7Hx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c93432df6f32c328 |
|
VISUAL
aHash
|
80101800f87e5c20 |
|
VISUAL
dHash
|
06a6b02862f0b8c1 |
|
VISUAL
wHash
|
80d25828f8fffe60 |
|
VISUAL
colorHash
|
39600008000 |
|
VISUAL
cropResistant
|
a8d994bee4e46571,ff4ebf3f1b9e0d9f,5cf0c1012343ca86,06a6b02862f0b8c1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.