| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google Android. It has been classified as critical. Affected is an unknown function of the component WLAN Driver. Performing a manipulation results in memory corruption. This vulnerability is cataloged as CVE-2018-3580. The attack must be initiated from a local position. There is no exploit available. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability, which was classified as critical, was found in Google Android (Smartphone Operating System) (unknown version). This affects an unknown code block of the component WLAN Driver. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Stack-based buffer overflow can occur In the WLAN driver if the pmkid_count value is larger than the PMKIDCache size in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel.
The bug was discovered 05/11/2018. The weakness was shared 06/06/2018 (Website). It is possible to read the advisory at source.android.com. This vulnerability is uniquely identified as CVE-2018-3580 since 12/19/2017. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 02/15/2020). It is expected to see the exploit prices for this product increasing in the near future.
The vulnerability was handled as a non-public zero-day exploit for at least 26 days. During that time the estimated underground price was around $25k-$100k.
Applying a patch is able to eliminate this problem.
The entries VDB-117573, VDB-117574, VDB-119006 and VDB-119016 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
License
Website
- Vendor: https://www.google.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.4
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Timeline
12/19/2017 🔍05/11/2018 🔍
06/06/2018 🔍
06/06/2018 🔍
06/07/2018 🔍
02/15/2020 🔍
Sources
Vendor: google.comAdvisory: source.android.com
Status: Not defined
CVE: CVE-2018-3580 (🔍)
GCVE (CVE): GCVE-0-2018-3580
GCVE (VulDB): GCVE-100-119019
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 06/07/2018 08:31Updated: 02/15/2020 14:00
Changes: 06/07/2018 08:31 (59), 02/15/2020 14:00 (1)
Complete: 🔍
Cache ID: 216:459:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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