Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A234B726722B8A843DB91EEF7386D56B2D2489DF8C74410F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a0eH/+EsZx8/G864KDawGM7BywDM7Bjr82+/9dtZkDieE565ThHEnnvdhfePqDvs:a0eH/+EsZ/89KDawGM7BywDM7Bv82+/m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3a91cdccc5c332 |
|
VISUAL
aHash
|
9985859593ffffff |
|
VISUAL
dHash
|
333d0d3535000000 |
|
VISUAL
wHash
|
8104041081ffffff |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
333d0d3535000000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.