Pangramsoft Pointter PHP Micro-Blogging Social Network 1.8 improper authentication
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Pangramsoft Pointter PHP Micro-Blogging Social Network 1.8. Impacted is an unknown function. This manipulation causes improper authentication. The identification of this vulnerability is CVE-2010-4333. Furthermore, there is an exploit available.
Details
A vulnerability classified as critical was found in Pangramsoft Pointter PHP Micro-Blogging Social Network 1.8 (Social Network Software). Affected by this vulnerability is an unknown functionality. The manipulation with an unknown input leads to a improper authentication vulnerability. The CWE definition for the vulnerability is CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Pointter PHP Micro-Blogging Social Network 1.8 allows remote attackers to bypass authentication and obtain administrative privileges via arbitrary values of the auser and apass cookies.
The weakness was shared 12/15/2010 (Website). It is possible to read the advisory at uncompiled.com. This vulnerability is known as CVE-2010-4333 since 11/29/2010. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are unknown but a public exploit is available.
A public exploit has been developed by Mark Stanislav and been published immediately after the advisory. It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the databases at Exploit-DB (15741) and OSVDB (70202†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 6.6
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
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: Improper authenticationCWE: CWE-287
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Author: Mark Stanislav
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Exploit Delay Time: 🔍
Timeline
11/29/2010 🔍12/15/2010 🔍
12/15/2010 🔍
12/15/2010 🔍
12/21/2010 🔍
12/22/2010 🔍
03/19/2015 🔍
11/09/2025 🔍
Sources
Advisory: uncompiled.comStatus: Not defined
CVE: CVE-2010-4333 (🔍)
GCVE (CVE): GCVE-0-2010-4333
GCVE (VulDB): GCVE-100-55819
OSVDB: 70202 - Pointter PHP Micro-Blogging Social Network Multiple Cookie Authentication Bypass
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/19/2015 23:27Updated: 11/09/2025 18:58
Changes: 03/19/2015 23:27 (45), 01/08/2018 07:53 (11), 11/09/2025 18:58 (20)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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