Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD723E23F600DD698A9B16CCF1C89A89041DD385FB2248CA716481FF7BC5DF066997DD |
|
CONTENT
ssdeep
|
192:FRed6n8ySEaY/McnthWeNWbPtmnxlzlJMcnthWeNWbHMT2aLaq1fMmUU8VCo2X:FRC6YYLUMT7LaifMmUFCo2X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc93b6e4ad0d292b |
|
VISUAL
aHash
|
fefcfcf8f0f0f0f0 |
|
VISUAL
dHash
|
b40831b3f3e3e6e7 |
|
VISUAL
wHash
|
fefcfc3830307070 |
|
VISUAL
colorHash
|
02000030440 |
|
VISUAL
cropResistant
|
b40831b3f3e3e6e7,90c30c9e2f295c7b |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.