| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $5k-$25k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Apple iOS and iPadOS up to 15.4.1. This affects an unknown part of the component WebRTC. This manipulation causes state issue. The identification of this vulnerability is CVE-2022-22677. It is possible to initiate the attack remotely. There is no exploit available. It is recommended to upgrade the affected component.
Details
A vulnerability was found in Apple iOS and iPadOS up to 15.4.1 (Smartphone Operating System). It has been declared as problematic. Affected by this vulnerability is some unknown processing of the component WebRTC. The manipulation with an unknown input leads to a state issue vulnerability. The CWE definition for the vulnerability is CWE-371. As an impact it is known to affect availability. The summary by CVE is:
A logic issue in the handling of concurrent media was addressed with improved state handling. This issue is fixed in macOS Monterey 12.4, iOS 15.5 and iPadOS 15.5. Video self-preview in a webRTC call may be interrupted if the user answers a phone call.
The weakness was shared 05/16/2022 as HT213258 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. This vulnerability is known as CVE-2022-22677. 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 $5k-$25k at the moment (estimation calculated on 04/28/2026). It is expected to see the exploit prices for this product increasing in the near future. The advisory points out:
Video self-preview in a webRTC call may be interrupted if the user answers a phone call
Upgrading to version 15.5 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability. The advisory contains the following remark:
A logic issue in the handling of concurrent media was addressed with improved state handling.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2022-27822). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.apple.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 4.2
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 4.3
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: 🔍
Exploiting
Class: State issueCWE: CWE-371
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
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: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Upgrade: iOS/iPadOS 15.5
Timeline
01/05/2022 🔍05/16/2022 🔍
05/16/2022 🔍
05/17/2022 🔍
04/28/2026 🔍
Sources
Vendor: apple.comAdvisory: HT213258
Status: Confirmed
CVE: CVE-2022-22677 (🔍)
GCVE (CVE): GCVE-0-2022-22677
GCVE (VulDB): GCVE-100-200059
EUVD: 🔍
scip Labs: https://www.scip.ch/en/?labs.20150917
Entry
Created: 05/17/2022 16:14Updated: 04/28/2026 11:31
Changes: 05/17/2022 16:14 (18), 05/17/2022 16:17 (28), 05/24/2022 08:49 (1), 05/07/2025 05:01 (26), 04/28/2026 11:31 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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