Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B432AFA3955F1125BA240D3A09F3557B73B142B650C6AB4A160DEA9B0FC099903FFCE |
|
CONTENT
ssdeep
|
768:FyWuPuy15SsH/cNwG9XM1n/qZW8+WFTH+L/utDnX8UvU905Gw6DjoppSxHyOzxHM:x/NqyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97555454411f7c7a |
|
VISUAL
aHash
|
00fe1f3f7fbfbfff |
|
VISUAL
dHash
|
a860777670647424 |
|
VISUAL
wHash
|
003e07079f1f16f7 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8c70767490647424,0000606161691c20,45452bc8c4e45945 |
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 703 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)