Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172235B726332B8B843DB92EEF7382D46B2D6949DE8C74550B5C956CD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G8/2RsmDVSEM5BxSL/M5Bv3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqD0:aq+EsZ/8/YvDVSEM5BxSrM5Bv3UXx+yU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf5a6042673b350d |
|
VISUAL
aHash
|
80fd8f8f3fdf8fff |
|
VISUAL
dHash
|
4d617a5961113526 |
|
VISUAL
wHash
|
00fc0f8f1f818f93 |
|
VISUAL
colorHash
|
07038000400 |
|
VISUAL
cropResistant
|
4d617a5961113526 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)