Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18923E83114C46B3757A353C8A361DA0BF3968180E27BC65BE2E5836B9EC5E54CC2767C |
|
CONTENT
ssdeep
|
768:1xxdkb0xV2nHnBwuqqrZObGgIFcQ6EJ9tQk9AarFck+vHFyVwaZm2FCYC/EJAG/:1x/kb0fanBwuqHbGNF7629Wk9A6cBfF4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9449eb948eb4e2cb |
|
VISUAL
aHash
|
ff000016360606ff |
|
VISUAL
dHash
|
7173ecececac8c29 |
|
VISUAL
wHash
|
ff000636366606ff |
|
VISUAL
colorHash
|
03000000038 |
|
VISUAL
cropResistant
|
0001416363890004,2428787858787878,96d6e8b0904d0f8e,f8f8b8f8e92c3c68,0000001d2d2c012d,32f1ececece4ac8c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)