Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137A184763189377B00DB45B2F3534BE877B0828CC13B529CA5FA81AD7BE0DA1C54669E |
|
CONTENT
ssdeep
|
96:TpEWg8asEy0mcY1UsKb/I39m17UgD/J83lCjXvAP0oKtr5pPU70:CWgRsE1SBKDqDgD/G3lCjXvClIB00 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cee1e1e160e3a1b3 |
|
VISUAL
aHash
|
60383c383c383c38 |
|
VISUAL
dHash
|
c861616161616161 |
|
VISUAL
wHash
|
e33c3c3c3c3c3c38 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
c861616161616161 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.