Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC124033B600DD2A899B56CCF6C09689411DC386FB3148CAB5A090FF7BC4EF0699979D |
|
CONTENT
ssdeep
|
192:5w3JQdpSl8ebxfSMcnthWeNWbnfMmUU8VCoTe:BpSlRlfMmUFCoTe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb23d72c6c827628 |
|
VISUAL
aHash
|
e7ffe7ff81c3ffff |
|
VISUAL
dHash
|
0f2b0f0d332b0002 |
|
VISUAL
wHash
|
8080809880f80100 |
|
VISUAL
colorHash
|
07201018000 |
|
VISUAL
cropResistant
|
0f2b0f0d332b0002,101822b2b2320c10,c000d4d401716101 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.