Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AE309F0BA30E2B90983F3F1E1253D5F6295B0AD9E864680C794D758DFA29E7CC71258 |
|
CONTENT
ssdeep
|
1536:7aTLH6dlIsMddcCGZUnxSYAxpxDnDBbmkomk3mkomkOmkomkuNDmk6mkqPQqUeSX:Xro3oOoG6xqU19 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
85bc436a3cc36f94 |
|
VISUAL
aHash
|
021f7e7e02207e20 |
|
VISUAL
dHash
|
fef6f6d696ccc8cc |
|
VISUAL
wHash
|
0e7f7f7e02007e60 |
|
VISUAL
colorHash
|
30000440008 |
|
VISUAL
cropResistant
|
cc868e86362a94b6,fef6f6d696ccc8cc |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.