Offices Associated
Information Services
E- Governance
Human Resources
MISSingle Window System

“By education I mean an all-round drawing out of the best in child and man-body, mind and spirit. Literacy is not the over of education or even the beginning.” ~MK Gandhi





The department directly manages 14000+ schools, 160K+ teachers ,20K+ non teaching staff of the state.

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Wiki – Wiki of each Individual schools>.The Department plays an eminent role in the physical và mental development of all pupils studying in schools. There has been tremendous growth in educational facilities at all levels of education in the state during the last 50 years. The private and public sectors together played significant role in attaining the present level & their contribution khổng lồ the field are remarkable.The department administers school education from pre-primary level to the higher secondary level & teacher training.

Kerala’s achievements in social development and quality of life are, no doubt, inspiring và encouraging. The state has achieved a human development index comparable to lớn the developed countries of the World.The society attaches so much importance lớn education that the school in Kerala is really the nucleus of the social microcosm. Better education kindles the aspirations of the people & the main concern is on how to improve the chất lượng of education.

Ensuring equitable and unique education for all children leading them to be productive and socially responsible Citizens.
To evolve appropriate school education policy & to ensure participation of all stakeholders of school education
To allocate sufficient resources & to envisage legal và statutory frameworks
To formulate programmes and strategies for enhancing community participation.

Sampoorna School Management Software is a one-stop source for all details of students such as Transfer Certificate, various reports, entry forms- khổng lồ name a few.

Sametham is an initiative from KITE to giới thiệu the authentic data of academic & infrastructural details of Govt, Aided & Recognized Un-Aided schools in Kerala.

Samagra e
Resource Portal aims to lớn supplement the Hi-Tech school project, it is essential for the schools to have right nội dung in addition to lớn adequate ICT equipments & trained teachers.

Samanwaya is an E-Governance Initiative by department which aims to reduce process time,make process transparent ,make the process paper free.

Kerala, God’s own country is also a country of diverse festivals. Kerala School Kalolsavam is a festival quality in its structure and organisation. The organisational set up from school màn chơi to state cấp độ for the conduct of the Kalolsavam is monitored by Education Department as per the manual drafted by experts in the field. Looking back into the history of School Kalolsavam in the last 59 years it is seen that the Kalolsavam has refined much in letter and spirit Students get opportunity to lớn express their talent in school level, sub district level, district level and at last at state level. When performers reach state level, perfection reaches its zenith .

The top 10 is a standard awareness document for developers và web application security. It represents a broad consensus about the most critical security risks to lớn web applications.

Globally recognized by developers as the first step towards more secure coding.

Companies should adopt this document & start the process of ensuring that their website applications minimize these risks. Using the đứng top 10 is perhaps the most effective first step towards changing the software development culture within your organization into one that produces more secure code.

Top 10 web Application Security Risks

There are three new categories, four categories with naming & scoping changes, & some consolidation in the đứng đầu 10 for 2021.


Translation Efforts

Efforts have been made in numerous languages lớn translate the đứng top 10 - 2021. If you are interested in helping, please contact the members of the team for the language you are interested in contributing to, or if you don’t see your language listed (neither here nor at github), please thư điện tử to let us know that you want to lớn help and we’ll khung a volunteer group for your language.We have compiled this readme with some hints khổng lồ help you with your translation.

Top10:2021 Completed Translations:


Top10:2017 Completed Translations:

Chinese: đứng đầu 10-2017 - 中文版(PDF) 翻译人员:陈亮、王厚奎、王颉、王文君、王晓飞、吴楠、徐瑞祝、夏天泽、杨璐、张剑钟、赵学文(排名不分先后,按姓氏拼音排列) 审查人员:Rip、包悦忠、李旭勤、杨天识、张家银(排名不分先后,按姓氏拼音排列) 汇编人员:赵学文 Spanish: top 10-2017 - Español (PDF)

Top10:2017 Release Candidate Translation Teams:

Others lớn be listed.

Top10:2013 Completed Translations:

2010 Completed Translations:

2021 Project Sponsors

The vị trí cao nhất 10:2021 is sponsored by Secure Code Warrior.

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2017 Project Sponsors

The đứng đầu 10 - 2017 project was sponsored by Autodesk, và supported by the No
VA Chapter.


2003-2013 Project Sponsors

Thanks to lớn Aspect Security for sponsoring earlier versions. đứng đầu 10 2020 Data Analysis Plan


To collect the most comprehensive dataset related to identified application vulnerabilities to-date khổng lồ enable analysis for the vị trí cao nhất 10 & other future research as well. This data should come from a variety of sources; security vendors and consultancies, bug bounties, along with company/organizational contributions. Data will be normalized lớn allow for màn chơi comparison between Human assisted Tooling & Tooling assisted Humans.

Analysis Infrastructure

Plan to leverage the Azure Cloud Infrastructure lớn collect, analyze, and store the data contributed.


We plan to tư vấn both known and pseudo-anonymous contributions. The preference is for contributions to lớn be known; this immensely helps with the validation/quality/confidence of the data submitted. If the submitter prefers to have their data stored anonymously và even go as far as submitting the data anonymously, then it will have to be classified as “unverified” vs. “verified”.

Verified Data Contribution

Scenario 1: The submitter is known và has agreed to lớn be identified as a contributing party.Scenario 2: The submitter is known but would rather not be publicly identified.Scenario 3: The submitter is known but does not want it recorded in the dataset.

Unverified Data Contribution

Scenario 4: The submitter is anonymous. (Should we support?)

The analysis of the data will be conducted with a careful distinction when the unverified data is part of the dataset that was analyzed.

Contribution Process

There are a few ways that data can be contributed:

Upload a CSV/Excel tệp tin to a “contribution folder” (coming soon)

Template examples can be found in Git

Contribution Period

We plan to accept contributions to the new đứng top 10 from May khổng lồ Nov 30, 2020 for data dating from 2017 to current.

Data Structure

The following data elements are required or optional. The more information provided the more accurate our analysis can be.At a bare minimum, we need the time period, total number of applications tested in the dataset, and the menu of CWEs và counts of how many applications contained that CWE.If at all possible, please provide the additional metadata, because that will greatly help us gain more insights into the current state of testing & vulnerabilities.


Contributor Name (org or anon) Contributor liên hệ Email Time period (2019, 2018, 2017) Number of applications tested Type of testing (Ta
H, Ha
T, Tools) Primary Language (code) Geographic Region (Global, North America, EU, Asia, other) Primary Industry (Multiple, Financial, Industrial, Software, ??) Whether or not data contains retests or the same applications multiple times (T/F)

CWE Data

A danh sách of CWEs w/ count of applications found to contain that CWE

If at all possible, please provide bộ vi xử lý core CWEs in the data, not CWE categories.This will help with the analysis, any normalization/aggregation done as a part of this analysis will be well documented.


If a contributor has two types of datasets, one from Ha
T and one from Ta
H sources, then it is recommended to submit them as two separate datasets.Ha
T = Human assisted Tools (higher volume/frequency, primarily from tooling)
H = Tool assisted Human (lower volume/frequency, primarily from human testing)


Similarly to lớn the vị trí cao nhất Ten 2017, we plan to lớn conduct a survey lớn identify up to lớn two categories of the vị trí cao nhất Ten that the community believes are important, but may not be reflected in the data yet. We plan to lớn conduct the survey in May or June 2020, và will be utilizing Google forms in a similar manner as last time. The CWEs on the survey will come from current trending findings, CWEs that are outside the đứng top Ten in data, and other potential sources.


At a high level, we plan khổng lồ perform a level of data normalization; however, we will keep a version of the raw data contributed for future analysis. We will analyze the CWE distribution of the datasets & potentially reclassify some CWEs lớn consolidate them into larger buckets. We will carefully document all normalization actions taken so it is clear what has been done.

We plan khổng lồ calculate likelihood following the model we developed in 2017 to lớn determine incidence rate instead of frequency to lớn rate how likely a given tiện ích may contain at least one instance of a CWE. This means we aren’t looking for the frequency rate (number of findings) in an app, rather, we are looking for the number of applications that had one or more instances of a CWE. We can calculate the incidence rate based on the total number of applications tested in the dataset compared lớn how many applications each CWE was found in.

In addition, we will be developing base CWSS scores for the vị trí cao nhất 20-30 CWEs and include potential impact into the top 10 weighting.

Also, would lượt thích to explore additional insights that could be gleaned from the contributed dataset to lớn see what else can be learned that could be of use lớn the security và development communities.