| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $5k-$25k | 0.00 |
Summary
A vulnerability was found in Apple iOS up to 1.1.1. It has been rated as problematic. The affected element is an unknown function. Performing a manipulation results in an unknown weakness. This vulnerability is known as CVE-2010-3828. No exploit is available. Upgrading the affected component is advised.
Details
A vulnerability was found in Apple iOS up to 1.1.1 (Smartphone Operating System). It has been classified as problematic. This is going to have an impact on integrity. The summary by CVE is:
iAd Content Display in Apple iOS before 4.2 allows man-in-the-middle attackers to make calls via a crafted URL in an ad.
The weakness was published 11/26/2010 by Aaron Sigel with vtty.com as HT4456 as confirmed advisory (Website). The advisory is shared at support.apple.com. This vulnerability is uniquely identified as CVE-2010-3828 since 10/07/2010. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 06/16/2017). It is expected to see the exploit prices for this product increasing in the near future.
It is declared as proof-of-concept.
Upgrading to version 1.1.2 eliminates this vulnerability.
The vulnerability is also documented in the databases at X-Force (63417), SecurityFocus (BID 45007†), Secunia (SA42314†), SecurityTracker (ID 1024768†) and Vulnerability Center (SBV-47791†). Similar entries are available at VDB-4219, VDB-53770, VDB-55549 and VDB-55548. Several companies clearly confirm that VulDB is the primary source for best 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: 5.3VulDB Meta Temp Score: 4.8
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
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: UnknownCWE: Unknown
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Proof-of-Concept
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: 🔍
0-Day Time: 🔍
Upgrade: iOS 1.1.2
Timeline
10/07/2010 🔍11/22/2010 🔍
11/22/2010 🔍
11/23/2010 🔍
11/23/2010 🔍
11/26/2010 🔍
11/26/2010 🔍
12/23/2014 🔍
03/19/2015 🔍
06/16/2017 🔍
Sources
Vendor: apple.comAdvisory: HT4456
Researcher: Aaron Sigel
Organization: vtty.com
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2010-3828 (🔍)
GCVE (CVE): GCVE-0-2010-3828
GCVE (VulDB): GCVE-100-55545
X-Force: 63417
SecurityFocus: 45007 - Apple iOS iAd Content Display URL Scheme Handling Security Bypass Vulnerability
Secunia: 42314 - Apple iOS Multiple Vulnerabilities, Highly Critical
SecurityTracker: 1024768 - Apple iOS Bugs Let Remote Users Initiate Calls and Bypass Configuration Profile Signature Validation
Vulnerability Center: 47791 - Apple iOS <4.2 iAd Content Display \, Medium
Vupen: ADV-2010-3046
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 03/19/2015 14:37Updated: 06/16/2017 04:34
Changes: 03/19/2015 14:37 (62), 06/16/2017 04:34 (12)
Complete: 🔍
Cache ID: 216:40D:103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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