Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C813A63114C46B7B52C383C4A7A0AE0BF3D69548E6BBC609F5EA831B96C4D54CC67A6C |
|
CONTENT
ssdeep
|
768:4tdfWzY20qnHB9ot1vfkw5EApjCOUmJrIM1HTZ+QMHrdZhNNiYmNL/OFpD4qLo:4zfWzY2RBOXvswuApjCOUmJrIAHl+QUk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
944be9948eb4e2cb |
|
VISUAL
aHash
|
ff000016360606ff |
|
VISUAL
dHash
|
71f3ecececac8c31 |
|
VISUAL
wHash
|
ff000636366606ff |
|
VISUAL
colorHash
|
03000000038 |
|
VISUAL
cropResistant
|
0001416363450004,2428787858787878,96d6e8b0904d0f8e,f8f8b8f8e92c3c68,000000343478013d,30f1ececece4ac8c |
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)