Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC43A2B56150A6B78487E3E487349B2B77C265E9EB178B0883F4AB5C9FC3CACCC15941 |
|
CONTENT
ssdeep
|
768:I5OZAimtkJ1vP4pLNjVs/ydYIq/Rr+Wf6WxnZNyMgK+LZ6rw9zNG9Gfe2rcF:ctkJ1vP4Vc5fPnZNyMgRLZjVfe2rcF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc338ccc33cc2b37 |
|
VISUAL
aHash
|
0000001800383c19 |
|
VISUAL
dHash
|
b2b03030ca75f4f5 |
|
VISUAL
wHash
|
5e1818183c3e3e7f |
|
VISUAL
colorHash
|
38002200080 |
|
VISUAL
cropResistant
|
b3aba1b9b9a0b7a5,b2b03030ca75f4f5 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.