CVE-2017-8923 Observation Footprint
4,732,198 Total Observations
Bitsight's Groma scanning engine maintains a continuous global survey of the public-facing Internet. Here you’ll find daily updates to an aggregated view of the Internet’s vendors, products, and vulnerabilities observed over the prior 30 days. These software observations are identified by an address, port, and domain name.
CVE-2017-8923 Details
The zend_string_extend function in Zend/zend_string.h in PHP through 7.1.5 does not prevent changes to string objects that result in a negative length, which allows remote attackers to cause a denial of service (application crash) or possibly have unspecified other impact by leveraging a script's use of .= with a long string.
Exploit prediction scoring system (EPSS) score for CVE-2017-8923
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%).
- 4.59 Probability of exploitation activity being observed over the next 30 days (89th percentile)
CVSS score for CVE-2017-8923
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.
- 9.8 Critical
Products affected by CVE-2017-8923
| php | 1.0 |
| php | 1.0.0 |
| php | 1.1 |
| php | 1.1.0 |
| php | 1.2.3 |
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.
CVE-2017-8923 Global Footprint
Chart
Map of World, medium resolution with 1 data series.
Top 10 Identified Countries
| Country | Observations | Percentage |
|---|---|---|
| US | 1,330,974 | 30.36% |
| DE | 358,072 | 8.17% |
| JP | 356,419 | 8.13% |
| RU | 335,273 | 7.65% |
| NL | 271,997 | 6.21% |
| FR | 207,182 | 4.73% |
| CN | 180,010 | 4.11% |
| KR | 109,884 | 2.51% |
| GB | 106,463 | 2.43% |
| CA | 69,359 | 1.58% |
CVE-2017-8923 Industry Footprint
Chart
Bar chart with 23 bars.
Top 10 Identified Industries
(Service provider organizations are disproportionately represented)
| Industry* | Observations | Percentage |
|---|---|---|
| Technology | 2,667,321 | 81.77% |
| Telecommunications | 468,889 | 14.37% |
| Business Services | 30,542 | 0.94% |
| Education | 25,534 | 0.78% |
| Media/Entertainment | 15,604 | 0.48% |
| Government/Politics | 12,143 | 0.37% |
| Food Production | 9,473 | 0.29% |
| Utilities | 5,080 | 0.16% |
| Retail | 4,105 | 0.13% |
| Manufacturing | 4,032 | 0.12% |
Bitsight Data Discovery and Continuous Threat Scanning
Bitsight, the leading provider in Cyber Risk Management, introduced the next-generation internet scanner Bitsight Groma in May 2024. This technology continuously scans the entire internet to discover assets, collect asset attribution evidence, and identify an ever-growing set of security observations, such as vulnerabilities and misconfigurations. Groma’s scanning activities presently encompass:
- 40 million-plus monitored organizations
- 250 million-plus host names
- 4 billion-plus routable IPv4 and IPv6 addresses
How we use Bitsight Groma data
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