Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2125033A600DD2A8D9B568CF2C4968D412DC35AF73188CAB16491FF3BC0DF065A979D |
|
CONTENT
ssdeep
|
192:8CQodsIaDfwZvIxgqxbTU4McnthWeNWbnfMmUU8VCoJwq:7sIjqgfMmUFCoJwq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd0ce64ce623d933 |
|
VISUAL
aHash
|
10181818181800ff |
|
VISUAL
dHash
|
32b2b2b2b2b2710e |
|
VISUAL
wHash
|
18183c3c3c3c3cff |
|
VISUAL
colorHash
|
01000000007 |
|
VISUAL
cropResistant
|
6ced7155dfd62329,2cc919797952c9cb,836780969680a2a2,0000010000000000,32b2b2b2b2b2324c |
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.