CVE-2019-12529 Details
An issue was discovered in Squid 2.x through 2.7.STABLE9, 3.x through 3.5.28, and 4.x through 4.7. When Squid is configured to use Basic Authentication, the Proxy-Authorization header is parsed via uudecode. uudecode determines how many bytes will be decoded by iterating over the input and checking its table. The length is then used to start decoding the string. There are no checks to ensure that the length it calculates isn't greater than the input buffer. This leads to adjacent memory being decoded as well. An attacker would not be able to retrieve the decoded data unless the Squid maintainer had configured the display of usernames on error pages.
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Exploit prediction scoring system (EPSS) score for CVE-2019-12529
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
16.6 Probability of exploitation activity being observed over the next 30 days (95th percentile)
CVSS score for CVE-2019-12529
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
5.9 Medium
Products affected by CVE-2019-12529

CVE-2019-12529 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 1,257,541 74.51%
CA 144,567 8.57%
GB 74,441 4.41%
BR 60,886 3.61%
RO 49,532 2.93%
CN 17,692 1.05%
DE 12,706 0.75%
IN 12,658 0.75%
JP 10,779 0.64%
CH 8,300 0.49%

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CVE-2019-12529 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 293,558 90.60%
Telecommunications 27,989 8.64%
Utilities 1,282 0.40%
Education 580 0.18%
Media/Entertainment 120 0.04%
Government/Politics 112 0.03%
Business Services 73 0.02%
Finance 71 0.02%
Retail 55 0.02%
Consumer Goods 37 0.01%

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