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aaa published in(发表于) 2017/1/22 10:35:48 Edit(编辑)
2016 eight fraud SMS,

2016 eight fraud SMS,(2016年八大类诈骗短信,)

English

中文

2016 eight fraud SMS-scam SMS, Telecom fraud-IT information

When people get used to the users social software when implementing the access to information and communication, spam was stuffed with user's SMS Inbox, many scam messages. According to the report, 1.07 billion spam messages, 80.56% ad, 10.91% is a scam message, 9.83% it is illegal to text, 1.03% for the other categories. Fraud SMS "taking advantage of spreading" illegal money lending, false, malicious Web site base station, gambling, fraud, online shopping, hit show winning, parcel delivery, the purchase of cattle, pretending to be a landlord transfers, well-paying job, posing as acquaintances to friends and relatives and a wide variety of types is impossible. Among them, the illicit text messages accounted for 17.53%, ranked first. When economic conditions were not very good users receive a "fast loans no collateral or three minutes" loan information, is likely to be favorable conditions to attract, so as to fall into "usury", and can't pull myself away.

2016 percentage of fraud SMS type

Report spam city TOP10, Beijing first

In terms of geographical distribution, Guangdong Province, remains hardest hit by spam, 11.36% share in "reporting spam user province TOP10" first, followed by Henan province, Shandong province, Jiangsu Province and Zhejiang Province, Hebei, Guangxi, Sichuan, Hunan and Liaoning provinces.

Meanwhile, according to report spam messages the user's TOP 10 rankings of the city, Beijing, Shenzhen, Zhengzhou people's situation is not optimistic, "reporting spam user city TOP10" in Beijing in the first position, accounted for 3.75%, 3.27% of Shenzhen, Zhengzhou 2.44% per cent.

Report spam messages a user's city TOP10

Fraud SMS 8 case count, you have got it?

Why are some fraud SMS looks so fake, but there are people who have got? This is because, outlaws not only accurate personal information to victims, also good at rubbing hot spots, creating a realistic situation. Reports show that 2016 common fraud SMS including student transcripts, school announcements, household management, prepaid mobile phone, cheating affair, information delivery, traffic violations, acquaintances get number 8 major types. Most of these scam messages posing as an official institution or acquaintance, calling users names, implanting fishing site in the SMS, inducing users to download Trojan virus, lead to the disclosure of personal information, bank cards stolen brush and other consequences.

Prepaid mobile phone scam text messages

Overall view, 2016 garbage SMS rendering out three big trend: first, number increasingly more, and in different of time paragraph with social, and life hot rendering peak State; Second, with personal information leaked intensified, fraud SMS increasingly precision, user in the enrollment rate increases; third, fraud SMS no longer separate modus operandi, but and fishing Web site, and Trojans virus joint on user for step by step of attack, caused of user loss more serious.


2016年八大类诈骗短信 - 诈骗短信,电信诈骗 - IT资讯

当人们习惯用户社交软件实现信息获取和沟通时,垃圾信息却塞满了用户的短信收件箱,其中不乏诈骗短信。《报告》显示,10.7亿垃圾短信中,有80.56%是广告,10.91%是诈骗短信,9.83%是违法短信,1.03%为其他类别。诈骗短信最会“借势传播”,非法贷款、恶意网址、伪基站、赌博诈骗、网购、热门节目中奖、邮包快递、购买黄牛、冒充房东转账、高薪招聘、冒充熟人亲友等五花八门的类型令人防不胜防。其中,非法短信占比为17.53%,高居首位。当经济条件不太好的用户,收到“无需抵押、三分钟快速放款”贷款信息时,很可能被优惠条件吸引,从而陷入“高利贷”的泥淖,无法抽身而退。

2016年诈骗短信类型占比

举报垃圾短信城市TOP10,北京居第一

从地域分布来看,广东省依然是垃圾短信的重灾区,以11.36%的占比位居“举报垃圾短信用户所在省份TOP10”第一位,其他依次是河南省、山东省、江苏省、浙江省、河北省、广西省、四川省、湖南省和辽宁省。

同时,根据举报垃圾短信用户所在城市TOP 10排名来看,北京、深圳、郑州人民面临的情况也不容乐观,在“举报垃圾短信用户所在城市TOP10”中,北京位于首位,占比为3.75%,深圳占比3.27%、郑州占比2.44%。

举报垃圾短信用户所在城市TOP10

诈骗短信8大案例盘点,你中招了吗?

为什么有些诈骗短信看上去那么假,却还是有人中招?这是因为,不法分子不仅掌握了受害者准确的个人信息,还善于蹭热点,营造以假乱真的情境。报告显示,2016年常见的诈骗短信包括学生成绩单、开学通知、户籍管理、手机实名制、出轨婚外情、工作资料传递、交通违章、熟人换号等8大类型。这些诈骗短信大多都冒充某官方机构或熟人,直呼用户名字,在短信中植入钓鱼网址,诱导用户下载木马病毒,导致个人信息泄露,银行卡被盗刷等后果。

手机实名制诈骗短信

整体来看,2016年垃圾短信呈现出三大趋势:第一,数量越来越多,且在不同的时间段随社会、生活热点呈现高峰状态;第二,随着个人信息泄露愈演愈烈,诈骗短信越来越精准,用户中招率增大;第三,诈骗短信不再单独作案,而是与钓鱼网址、木马病毒联合对用户进行循序渐进的攻击,造成的用户损失更加严重。





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