CVE-2020-15049 Details
An issue was discovered in http/ContentLengthInterpreter.cc in Squid before 4.12 and 5.x before 5.0.3. A Request Smuggling and Poisoning attack can succeed against the HTTP cache. The client sends an HTTP request with a Content-Length header containing "+\ "-" or an uncommon shell whitespace character prefix to the length field-value.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2020-15049
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%).
7.27 Probability of exploitation activity being observed over the next 30 days (91st percentile)
CVSS score for CVE-2020-15049
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.
9.9 Critical
Products affected by CVE-2020-15049
Squid 2.4.stable1
Squid 2.4.stable5
Squid 2.4.stable6
Squid 2.4.stable7
Squid 2.5.stable1
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Not available
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CVE-2020-15049 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 1,263,040 74.01%
CA 145,159 8.51%
GB 76,963 4.51%
BR 60,963 3.57%
RO 49,569 2.90%
CN 18,085 1.06%
DE 14,587 0.85%
IN 13,144 0.77%
JP 9,529 0.56%
CH 8,319 0.49%

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CVE-2020-15049 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 299,686 90.66%
Telecommunications 29,661 8.97%
Education 440 0.13%
Media/Entertainment 220 0.07%
Government/Politics 139 0.04%
Business Services 77 0.02%
Finance 73 0.02%
Retail 60 0.02%
Consumer Goods 37 0.01%
Utilities 37 0.01%

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