The analysis of the timeline helps to identify the required approach and handling of single vulnerabilities and vulnerability collections. This overview makes it possible to see less important slices and more severe hotspots at a glance. Initiating immediate vulnerability response and prioritizing of issues is possible.
The moderation team is working with the threat intelligence team to categorize software that is affected by security vulnerabilities. This helps to illustrate the assignment of these categories to determine the most affected software types.
Grouping vulnerabilities by products helps to get an overview. This makes it possible to determine an homogeneous landscape or the most important hotspots in heterogeneous landscapes.
Vendors and researchers are eager to find countermeasures to mitigate security vulnerabilities. These can be distinguished between multiple forms and levels of remediation which influence risks differently.
Researcher and attacker which are looking for security vulnerabilities try to exploit them for academic purposes or personal gain. The level and quality of exploitability can be distinguished to determine simplicity and strength of attacks.
The approach a vulnerability it becomes important to use the expected access vector. This is typically via the network, local, or physically even.
To exploit a vulnerability a certail level of authentication might be required. Vulnerabilities without such a requirement are much more popular.
Some attack scenarios require some user interaction by a victim. This is typical for phishing, social engineering and cross site scripting attacks.
Our unique C3BM Index (CVSSv3 Base Meta Index) cumulates the CVSSv3 Meta Base Scores of all entries over time. Comparing this index to the amount of disclosed vulnerabilities helps to pinpoint the most important events.
The Common Vulnerability Scoring System (CVSS) is an industry standard to define the characteristics and impacts of security vulnerabilities. The base score represents the intrinsic aspects that are constant over time and across user environments. Our unique meta score merges all available scores from different sources to aggregate to the most reliable result.
The Common Vulnerability Scoring System (CVSS) uses temp scores to reflect the characteristics of a vulnerability that may change over time but not across user environments. This includes reporting confidence, exploitability and remediation levels. We do also provide our unique meta score for temp scores, even though other sources rarely publish them.
The moderation team is always defining the base vector and base score for an entry. These and all other available scores are used to generate the meta score.
The National Vulnerability Database (NVD) is also defining CVSS vectors and scores. These are usually not complete and might differ from VulDB scores.
Some vendors are willing to publish their own CVSS vectors and scores for vulnerabilities in their products. The coverage varies from vendor to vendor.
There are sometimes also security researcher which provide their own CVSS vectors and scores for vulnerabilities they have found and published.
The moderation team is working with the threat intelligence team to determine prices for exploits. Our unique algorithm is used to identify the 0-day prices for an exploit, before it got distributed or became public. Calculated prices are aligned to prices disclosed by vulnerability broker and compared to prices we see on exploit markets.
The 0-day prices do not consider time-relevant factors. The today price does reflect price impacts like disclosure of vulnerability details, alternative exploits, availability of countermeasures. These dynamic aspects might decrease the exploit prices over time. Under certain circumstances this happens very fast.
Our unique calculation of exploit prices makes it possible to forecast the expected exploit market volume. The calculated prices for all possible 0-day expoits are cumulated for this task. Comparing the volume to the amount of disclosed vulnerabilities helps to pinpoint the most important events.
Our unique Cyber Threat Intelligence aims to determine the ongoing research of actors to anticipiate their acitivities. Observing exploit markets on the Darknet, discussions of vulnerabilities on mailinglists, and exchanges on social media makes it possible to identify planned attacks. Monitored actors and activities are classified whether they are offensive or defensive. They are also weighted as some actors are well-known for certain products and technologies. And some of their disclosures might contain more or less details about technical aspects and personal context. The world map highlights active actors in real-time.
Affected Products (83): Blade Spark (1), Blade Vantage (1), C520V21 (2), Datacard MF19 (1), E8810 (2), E8820 (2), E8820V3 (2), E8822 (2), F6x2W (1), F460 (1), F680 (1), GAN9.8T101A-B (1), H196Q (1), HG110 (1), MF28G (1), MF65 (1), MF65M1 (1), MF910S (1), MF920 (2), MW (1), NR8000 (1), NR8000 TR (1), NR8120 (2), NR8120A (1), NR8150 (1), NR8250 (1), NR8950 (1), NetNumen DAP (1), OSCP (1), OTCP (1), OX-330P (1), R5300 G4 (2), R5500 G4 (2), R8500 G4 (2), Score M (1), U31R20 (1), W300V1.0.0S_ZRD_TR1_D68 (1), WF820+ (2), XCDN IAMWEB (1), ZENIC ONE R22b (1), ZMAX Champ (3), ZMAX Pro (1), ZX297520V3 (1), ZXA10 C300M (1), ZXA10 eODN (1), ZXCDN-SNS (1), ZXCDN IAMWEB (1), ZXCLOUD GoldenData VAP (3), ZXCLOUD iRAI (1), ZXCTN 6500 (1), ZXDSL (7), ZXDSL 831CII (1), ZXDT22 SF01 (1), ZXHN F623 (1), ZXHN F670 (7), ZXHN F670L (1), ZXHN H108L (1), ZXHN H108N (4), ZXHN H108N R1A (6), ZXHN H168N (4), ZXHN Z500 (1), ZXIN10 (1), ZXIPTV (1), ZXIPTV-EPG (1), ZXIPTV-UCM (1), ZXMP (1), ZXONE 8700 (1), ZXONE 9700 (1), ZXONE 19700 (1), ZXONE 19700 SNPE (1), ZXR10 1800-2S (1), ZXR10 2800-4_ALMPUFB(LOW (1), ZXR10 8900E (1), ZXR10 8905E (1), ZXR10 9904 (1), ZXR10 9904-S (1), ZXR10 9908 (1), ZXR10 9908-S (1), ZXR10 9916 (1), ZXUPN-9000E (2), ZXV10 B860A (2), ZXV10 W300 (9), eVDC (1)
Link to Vendor Website: https://www.zte.com.cn/
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