Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5D133E1D415DD37071289D8E7FA6F4BB651C749CB031880ABF883ABABCAC60CB1559D |
|
CONTENT
ssdeep
|
96:TkLV3YTMOeOlMOnzeNNeSTgGQyt7JDLyt7JlCFFaCXvHFgOX1z/5kt7JM6yJ:QLV3YTZblZnzeTkGQyrDLyrlyBz2rM5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b232cfc938c67331 |
|
VISUAL
aHash
|
ffffc78787cfffff |
|
VISUAL
dHash
|
08000f2d1f1e0218 |
|
VISUAL
wHash
|
00c3030100000000 |
|
VISUAL
colorHash
|
07400000011 |
|
VISUAL
cropResistant
|
08000f2d1f1e0218,9593d5d5c5cdc6db |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.