Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D235AB26332B8B843DF91DEF7382D55A2D2988DE8CB4550F5C95A8E13C3C906197BB4 |
|
CONTENT
ssdeep
|
768:ae+EsZx8/G8TK4yDawwMwBGMwJMwBGNr82+/9dtZkDieE565ThHbjoZDWphfBqPj:ae+EsZ/8TNyDawwMwBFwJMwBk82+/9d/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fac4edc192c4e5c1 |
|
VISUAL
aHash
|
ff8181858d818181 |
|
VISUAL
dHash
|
4319450d49494949 |
|
VISUAL
wHash
|
ff8181cded81e381 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
4319450d49494949,1fdeceaee6ced060,4398868c88aaca8a |
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.
Pages with identical visual appearance (based on perceptual hash)